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Postdoctoral Research Fellow
The University of Texas Health Science Center at Houston
A postdoctoral research fellow position in biostatistics is available to study advanced methods in design and analysis of clinical trials, high-throughput omics data, and machine learning techniques at the Center for Clinical Research and Evidence-Based Medicine (CCREBM-https://med.uth.edu/crebm/) in the McGovern Medical School. The mission of the CCREBM is to advance research methods in all areas of clinical research. Faculty at the center have a strong focus on Bayesian clinical trials, longitudinal and multilevel modeling, and machine learning techniques.

[Duties and Responsibilities]
The Postdoctoral Fellow will engage in both applied methodology developments and collaborative research. This research will include risk prediction model development and validation, assessing efficiency of classifiers and models for omics and clinical data, and Bayesian methods for clinical trials. The Fellow will have opportunities in pursuing independent research.

[Position Qualifications]
*Minimum Requirements
• PhD in Biostatistics or related discipline
• Strong statistical programming skills in R
• Proficiency in programming and data analysis
• Research interest in healthcare
• Excellent interpersonal and communication skills
• Commitment to working collaboratively with clinicians and biomedical researchers
• Ability to work independently

**Preferred Qualifications
• Experience with clinical data
• Experience with machine learning applications
• Python programming skills
Link: None
Senior Biostatistician and Software Developer
StataCorp LLC
StataCorp is seeking a person with good understanding of biostatistics and experience in applied statistics and software development.

StataCorp’s biostatisticians are continually expanding the statistical features of Stata: working with colleagues and users to identify features to add, validating statistical methods, programming in C and Stata, and writing documentation.

StataCorp’s biostatisticians have the opportunity to become known within the Stata user community and are encouraged to develop and pursue their own statistical interests.

StataCorp is interested in statistics, as well as statistical software. In addition to developing and providing statistical tools for research professionals, our developers contribute books, articles, education, etc.

Job duties:

Working with a team of bright and motivated statisticians and programmers on all aspects of the design and use of Stata

Identifying and implementing biostatistical procedures that should be incorporated into Stata

Writing technical documentation and manuals

Continually broadening and updating knowledge on statistical theory and empirical practice

Communicating with users via online forums and via articles written in the Stata Journal

Candidate requirements:

Knowledge of statistical theory, in particular survival analysis, epidemiology, and clinical trials

Experience in empirical practice

Programming experience in statistical packages as well as C/C++/Java/etc

Good communication and writing skills

A PhD, or equivalent knowledge and job experience, in biostatistics, statistics, or a similar field

Starting salary is commensurate with experience. StataCorp is a rapidly growing company, and this position has significant potential for growth in responsibility and compensation upon proven performance. StataCorp offers an excellent benefits package. Employees work only 4 weekdays, enjoying a great work-life balance.

StataCorp LLC is an Affirmative Action Employer Minorities/Females/Vet/Disability
Link: http://www.stata.com/enarcareers/
Senior Biostatistician and Communications Specialist
StataCorp LLC
StataCorp is interested in statistics and communication of statistical concepts, as well as statistical software. We are seeking a person who understands biostatistics and has an exceptional ability to explain statistical applications, statistical concepts, and Stata software to applied researchers.

The successful applicant will contribute to Stata documentation and other material related to Stata software. Other materials may include Stata blog posts, FAQs, Stata Press books, training materials, videos, and webinars.

The successful applicant will be encouraged to continually develop a broader knowledge of statistics.

Job duties:

Working with statisticians and software developers at StataCorp to produce the Stata documentation
 
Editing and writing blog entries, FAQs, and related resources
 
Editing, authoring, and coauthoring Stata Press books
 
Continually broadening and updating knowledge on statistical practice
 
Attending discipline-specific conferences and giving presentations at events such as Stata conferences

Candidate requirements:

A passion for explaining complex technical topics to a broad audience
 
Knowledge of applied statistics
 
Experience writing course materials, presentations, or articles 
 
Superb communication skills, including the ability to write and to edit documents in English
 
An interest in learning new areas of statistics
 
A PhD, master's, or equivalent knowledge and job experience in biostatistics, statistics, or similar field

Starting salary is commensurate with experience. StataCorp offers an excellent benefits package. Employees work only 4 weekdays, enjoying a great work-life balance.

We are a rapidly growing company, and this position has significant potential for growth in responsibility and compensation upon proven performance.

StataCorp LLC is an Affirmative Action Employer — Minorities/Females/Vet/Disability
Link: http://www.stata.com/enarcareers/
Postdoctoral Fellow
Johns Hopkins University
Opening for a Postdoctoral Research Fellow to work on developing novel statistical methods for multi-modal data generated by #wearables. The embedding of multiple sensors in wearable devices now allows real-time tracking of sleep, physical activity, heart rate, and more to come. This comprehensive multimodal tracking requires a next generation of statistical methods – the primary focus of this fellowship.

The fellow will be mentored by Dr. Vadim Zipunnikov and will be a part of the Wearable and Implantable Technology (WIT) group at the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.

The successful applicant will work primarily on developing and testing novel statistical and machine learning methods for modelling and fusing functional, distributional, and time-series data collected in real-time across multiple modalities. The applicant will also have an opportunity to work on a collaborative project with Takeda Pharmaceuticals with a focus on identifying clinically relevant characteristics and patterns of actigraphy-measured physical activity and their relationship with cognitive, behavioral, and physiological endpoints across multiple clinical cohorts.



Link: https://www.biostat.jhsph.edu/~vzipunni/
Biostatistician/Research Scientist
Case Western Reserve University
The Department of Population and Quantitative Health Sciences at Case Western Reserve University School of Medicine has an available position for a biostatistician at the Research Associate level. The candidate will work under minimal supervision; the Research Associate will play a key role in medical research in general. The Research Associate is responsible for all respects of statistical considerations from early phase engagement (protocol and grant development, study design), trial monitoring and data management, data analysis, to the final stage of research report and scientific dissemination from a variety of research projects (clinical and pre-clinical), especially cancer research across campus, primarily within the School of Medicine.

Position requirements are a MS or PhD in biostatistics, computer science, or related discipline with 1-3 years’ experience as a biostatistician in medical research, especially in the area of cancer research. Familiar to clinical trial designs, especially for early phases (1, 2) cancer clinical trials. Familiar to the general theory of database management. Sound knowledge of biology especially cancer biology in blood malignancies is desired, but not required.

The candidate should be able to work independently. Excellent written and oral communication skills are also required.

Applicants should submit a curriculum vitae along with contact information for three reference to Pingfu Fu at pxf16@case.edu
Link: https://case.edu/academic-careers/research-associate-sts-362-population-quantitative-health-sciences
Postdoctoral Fellowship on Computational Cancer Genomics
MD Anderson Cancer Center
A full-time postdoctoral fellow position is available in Professor Wenyi Wang’s lab, at the Department of Bioinformatics and Computational Biology at the University of Texas MD Anderson Cancer Center.

The position will involve a mixture of methodological and collaborative research in cancer genomics. The methodological research may include but not limited to statistical models for integrative deconvolution and machine learning methods for prognosis and therapeutic biomarker
development. The collaborative research may include but not limited to software tool dissemination, cancer biology discovery, and participation in pan-cancer studies with large research consortia. This position will require writing bioinformatics methodology manuscripts, assisting or leading in writing biomedical manuscripts, developing/maintaining software packages, and other academic activities.

For further information, visit the lab website at https://odin.mdacc.tmc.edu/~wwang7/.

The ideal candidate should have a Ph.D. in Bioinformatics, Statistics, Biostatistics, Computer Science or a related field. Extensive experience with R and Python, and prior experience in computational biology are required. The candidate must have excellent written and verbal communication skills, the ability to engage in independent thinking, be meticulous in their attitude towards work, and be collegial as a team member. The candidate must demonstrate scholarship through at least two published first-author manuscripts.

To apply, please email (1) a cover letter describing current and future research, (2) a curriculum vitae, and (3) a list of three references to Dr. Wenyi Wang (wwang7@mdanderson.org).
Postdoctoral Fellowship on Biostatistics
MD Anderson Cancer Center
A full-time postdoctoral fellow position is available in Professor Wenyi Wang’s lab, at the Department of Bioinformatics and Computational Biology at the University of Texas MD Anderson Cancer Center.

The position will involve a mixture of methodological and collaborative research in biostatistics. The methodological research may include but not limited to machine learning methods for time-to-event modeling and multivariate statistics. The collaborative research may include but not
limited to software tool dissemination into clinical practice, electronic health record data processing, and participation in the multi-institutional efforts in studying clinical genetics. This position will require writing statistical/biostatistical manuscripts, assisting in writing biomedical
manuscripts, developing/maintaining statistical software packages, and other academic activities.

For further information, visit the lab website at https://odin.mdacc.tmc.edu/~wwang7/.

The ideal candidate should have a Ph.D. in Statistics, Biostatistics, or a related field. The candidate must have excellent written and verbal communication skills, the ability to engage in independent thinking, be meticulous in their attitude towards work, and be collegial as a team member. The candidate must demonstrate scholarship through at least two published first-author manuscripts.

To apply, please email (1) a cover letter describing current and future research, (2) a curriculum vitae, and (3) a list of three references to Dr. Wenyi Wang (wwang7@mdanderson.org).
Varies: entry level to senior level
Incyte Corporation
Job title depends on experience. We are on site to interview candidates
Link: None
Postdoctoral fellow in Statistical Genetics
Johns Hopkins University
Dr. Debashree Ray is seeking to hire a postdoctoral fellow in statistical genetics (available to start immediately) for a National Institutes of Health (NIH) funded study of genetic determinants of type 2 diabetes and its biomarkers. The successful applicant is expected to work as part of a team to achieve common goals. Details on Dr. Ray’s most recent research in statistical genetics and genetic epidemiology are available at her webpage (https://sites.google.com/view/debashree/).

The successful applicant will primarily work on development of statistical methods and open-source software/tools in human genetics, with a focus on multi-ancestry, multi-omics, multi-trait research of complex diseases. The applicant will also conduct large-scale data analyses of genetic epidemiologic studies of type 2 diabetes, with the opportunity to work in other disease areas if interested. The applicant will receive one-on-one mentorship from Dr. Ray to help achieve their short- and long-term career goals. The applicant is expected to write multiple peer-reviewed manuscripts as first author; and will be encouraged to present their work in national conferences, and gain teaching/mentoring skills through regular journal clubs and team meetings.

For more details on this position, required qualifications, and application instructions, please see the full ad in this link (https://bit.ly/36iCoTj). Applications are being reviewed on a rolling basis until position is filled.
Link: https://bit.ly/36iCoTj
Postdotocal Associate in Statistical Genetics/Genomics at Yale
Yale University
The successful applicant will work with members of the Yale Center for Statistical Genomics and Proteomics and faculty in the Yale Medical School to develop and apply novel statistical methods to address problems arising in genome wide association studies, whole exome sequencing data analysis, single cell data, imaging genetics, and integrative –omics with a focus on complex diseases.
Postdoc Fellowship at Emory
Emory University
The fellow will join a transdisciplinary team under the guidance of Drs. Robert Krafty and Amita Manatunga where they will develop and apply cutting-edge statistical and machine learning methods for analyzing heterogeneous data modalities including newly emerging curve/image (functional) data and high-dimensional vector data. The fellow will participate in research activities such as development of statistical methodology, associated theory, computational tools, algorithm for the analysis and interpretation of data, including images, functional and high-dimensional data. Specific examples of methodological research include but are not limited to:
• Interpretable statistical learning for functional, image and longitudinal image data
• Integrative analysis of heterogeneous data modalities (including functional and high-dimensional vector data) for accurate prediction of disease risk
• Development of efficient clustering algorithms for images adjusting for their metadata
• Reproducibility (agreement) studies on multiple heterogeneous images collected from different anatomic regions

Publications in peer-reviewed journals and presentations at scientific meetings are expected and encouraged. The fellow will work closely with senior team members to develop and implement a robust professional development plan to achieve personal professional and educational goals.
Biostatistician III
Duke University School of Medicine
Under the guidance of the CTSI BERD Methods Core management team in the Department of Biostatistics and Bioinformatics, perform intermediate and advanced level statistical analysis and programming for a broad range of medical research projects. Collaborate closely with a cross-functional project team, physicians, lab scientists, and graduate students with regard to statistical aspects of each project. Demonstrate expertise in statistical and clinical areas in order to serve as a resource for other Biostatisticians in the Core.

Work primarily with collaborators in the School of Medicine to support an interdisciplinary network of clinical and translational investigators conducting research at Duke by providing expertise in study design, implementation of statistical methodology, and interpretation of results.

Education

Position requires a minimum of a Doctoral degree in (bio) statistics or related field and no relevant experience, or a Master’s degree in (bio) statistics or related field and 2 years relevant experience, or a Bachelor’s degree in (bio) statistics or related field and 4 years relevant experience.

Experience

Contribution to analysis of research projects, and/or participation in preparation of academic manuscripts or other written summaries of analysis results, thorough experience with SAS and R, experience with observation, survival, longitudinal, categorical, and generalized linear models, and solid command of the English language is required.

Desirable experience includes prior role as a lead statistician on research projects that are complementary to biostatistics that have delivered the agreed-upon end products on time, and prior guidance of lower level or less experienced staff.
Link: https://careers.duke.edu/job/Durham-BIOSTATISTICIAN-III-NC-27710/860415900/
Biostatistician II
Duke University School of Medicine
Under the guidance of the CTSI Biostatistics, Epidemiology, and Research Design (BERD) Core management team in the Department of Biostatistics and Bioinformatics, perform intermediate-level statistical analysis and programming for a broad range of medical research projects. Collaborate closely with a cross-functional project team, physicians, lab scientists, and graduate students with regard to statistical aspects of each project.

Work primarily with collaborators in the School of Medicine to support an interdisciplinary network of clinical and translational investigators conducting research at Duke by providing expertise in study design, implementation of statistical methodology, and interpretation of results.

Education

Work requires a minimum of a Master’s degree in (bio) statistics or related field and no relevant experience, or a bachelor’s degree in (bio) statistics or related field and 2 years relevant experience, or an equivalent combination or relevant education and/or work experience. Master’s degree preferred. Training in research methods that are complementary to biostatistics (e.g., epidemiology, health services, economics, psychology, etc.) preferred.

Experience

Required experience includes prior contribution to analysis of research projects, thorough experience with SAS or R and demonstrated excellence in both written and oral communication.

Desirable experience includes experience in global health or related fields of research, with research methods that are complementary to biostatistics, and with primary data collection. In addition, experience with the Stata programming language, with survival, longitudinal, categorical, and observational data analysis, and generalized linear models is desired.
Link: https://careers.duke.edu/job/Durham-BIOSTATISTICIAN-II-NC-27710/802308100/
Clinical Statistician for Beauty Care P&G business
Procter & Gamble
Responsible for statistical strategy of Beauty Care clinical trials across key categories of the global consumer product portfolio, including Hair, Skin and Personal Care. Responsible for identification and development of clinical statistical methods and measures, including emerging spaces of Real Time In Context (I.e. dynamic, in the wild) measures. In partnership with Clinical Digital/Data resources, design and implement big data cloud structure to enable rapid analysis of data via Machine Learning and AI for modeling and claim support. Elements of this role include: statistical planning, design, programming, analysis, reporting of data, claims/credentialing support, mining of historical clinical data, and data activation. Additional responsibilities may include non-clinical statistical or data science related work such as leveraging machine learning algorithms, understanding consumer preference data, and advanced programming for facial image analysis.
Link: None
Tenure Track Positions in Biostatistics and Epidemiology
Indiana University-Bloomington
The Indiana University School of Public Health-Bloomington invites applications to join the faculty of the Department of Epidemiology and Biostatistics. This is an open-rank search, and applicants at all levels (full, associate, or assistant) are welcome. Individuals are sought who will contribute scientific excellence through rigorous research and teaching in epidemiological and/or biostatistical methods, public health policy and practice, and through community engagement to build the evidence base to responsibly promote health in the populations they serve. This 10-month appointment would ideally start on August 1, 2022, although an earlier or later hire date is possible. The School of Public Health-Bloomington is located on the flagship campus of Indiana University and is comprised of over 200 faculty across five departments. The Epidemiology and Biostatistics Department was established in 2012 and is a vibrant department committed to openness and transparency in research and teaching. The department consists of over 20 tenured and tenure-track faculty, several non-tenure track faculty, and administrative staff including 6 full-time professional MS-level statisticians who support the department’s Biostatistical Consulting Center. The department’s dedicated administrative unit supports grants management, contracts, finance, human resources, and administration. The Department of Epidemiology and Biostatistics offers an undergraduate degree in epidemiology, a Master of Public Health degree in biostatistics and epidemiology, a Ph.D. program in epidemiology and a new approved Ph.D. in biostatistics. The department has over 100 students enrolled in its BSPH program in Epidemiology, MPH online and residential programs, a PhD in Epidemiology, and newly-established MS and PhD programs in Biostatistics.
Link: https://indiana.peopleadmin.com/postings/12117
DATA MANAGER
Case Western Reserve University
POSITION OBJECTIVE
Working under minimal supervision, the data analyst will key play in medical research in general. In particular, the data analyst will lead in managing all aspects of statistical considerations from early phase engagement, data management, data analysis, to the final stage of research report and scientific dissemination from a variety of research projects (clinical and pre-clinical) across campus, especially cancer research in patients with solid tumors at the Case Comprehensive Cancer Center (CCCC). The data analyst will support research projects with the aim of fostering translational and implementation science research in cancer patients at CCCC. the data analyst will play a key role in medical research in general. The data analyst is responsible for all respects of statistical considerations

ESSENTIAL FUNCTIONS
Evaluate, prepare, analyze, and interpret existing data and sources, select and apply appropriate statistical methods in a team environment in support of research projects across campus, particularly within the School of Medicine as assigned. (40%)
Design and implement statistical methods and applicable resource materials used for research projects. (15%)
Advise on best practices and established policies, procedures, and regulations and conducts biostatistical analysis for internal stakeholder groups. (10%)
Contribute to preparing, writing, editing, and submitting research manuscripts, presentations, reports, research grant and contract proposals and/or post-award reports to funding agencies. (25%)

Candidates should submit a brief cover letter and a current CV. Review of applications will begin immediately, and will continue until this position is filled.

Click the above link of Position Website or
enter the following link https://employment.case.edu/, please search 9742 and then click submit.
Link: https://employment.case.edu/psc/ERECRUIT/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=9742&PostingSeq=1&
Senior Biostatistician
Natera
The Senior Biostatistician works closely with biologists and cross-functional teams to advance Natera’s cutting-edge molecular diagnostic assays in the oncology area. Senior Biostatisticians make use of their experience in applied statistics to design and execute statistical analyses of varying complexity in the context of product development, and primarily for verification or validation studies.

See the link for a full job description.
Link: https://www.natera.com/company/careers/job-openings/?gh_jid=4186857004
Masters level biostatistician (2 positions)
Albert Einstein College of Medicine
Albert Einstein College of Medicine is currently recruiting for two Masters-level biostatisticians to join the Division of Biostatistics, which currently includes over 20 faculty members.

The first position will involve collaboration with biostatistics faculty and research investigators in the Montefiore Einstein Cancer Center to analyze genomics and imaging data in immunotherapy studies.

The second position will involve collaboration with the Einstein Aging Study (EAS) to analyze clinical, behavioral, ecological momentary assessment (EMA) data, and digital monitoring data. The masters-level biostatisticians will be key members of the research teams and have opportunities to develop independent projects under the mentorship of faculty.
Statistical Scientist, Trial Design & Analysis
Berry Consultants
Berry Consultants, a growing consulting company in the design and implementation of complex innovative adaptive clinical trials, is searching for a Statistical Scientist. The successful applicant will play a key role in the growth and success of Berry Consultants. Berry Consultants has a world-wide client base that includes pharmaceutical, biotech, medical device companies, as well as contract research organizations, non-profit patient advocacy groups, government organizations, and academic centers.

The Statistical Scientist’s Role:
• Interact with consulting teams and a wide array of biostatistical collaborators
• Design of innovative clinical trials to address unique and challenging situations
• Custom statistical modeling related to clinical trials, biostatistics, medical decision making, and disease progression
• Statistical model and software development for the design, simulation and analysis of clinical trials
• Present innovative statistical work to various audiences, e.g. business leaders, regulatory groups, clinicians, trial steering/monitoring committees, other statisticians, etc.
• Present work at academic conferences and publish in peer reviewed journals

Qualifications & Essential Skills:
• PhD in Statistics or related quantitative field (exceptions are possible)
• Passion for statistics and science and a desire to have a positive impact
• Exceptional communication skills
• Outstanding statistical programming and modeling skills

Additional Desired Skills:
• General knowledge of clinical trials and biostatistics
• Experience with Bayesian analyses and relevant statistical software

Location:
This position location is at the Berry Consultants' office in Austin, Texas.

Application Procedure:
Candidates should email a cover letter and resume to jobs@berryconsultants.com. In the cover letter, please describe why you think you would be a good fit for Berry Consultants and reference job #22-01.
Link: https://www.berryconsultants.com/
Post-Doctoral Associate in Biostatistics
New York University
The Department of Biostatistics at the NYU School of Global Public Health is seeking candidates with a Ph.D. in Statistics/Biostatistics, Computer Science, or related fields for an exciting full-time Post-Doctoral Associate position available beginning on June 1 or Sep 1, 2022, working with Dr. Yang Feng and Dr. Rebecca Betensky.
The postdoc associate will work to:
1. Develop novel machine learning methods and their associate theory.
2. Apply existing and new machine learning methods to public health and medical data.
3. Develop companion software.
Link: https://apply.interfolio.com/104510
Various - from Senior Biostatistician to Director/Sr. Director
Vertex Pharmaceuticals
If interested, please send your CV to vincent_tan@vrtx.com

It is the best time to join biopharmaceutical industry, making impact to the development of life saving medicines
Link: None
Director of Biostatistics Research
Unlearn.ai
Lead a team of biostatisticians developing novel methods for covariate adjustment at a start-up devoted to making clinical trials more efficient without sacrificing statistical rigor.
Link: https://jobs.lever.co/UnlearnAI/94a4220e-ea7c-4eb3-a0e9-7c0648e1bf1b
Mathematical Statistician
Food and Drug Administration/Center for Drug Evaluation and Research
The Office of Biostatistics is seeking individuals with strong statistical methodology skills and an interest in biomedical applications to serve as mathematical statisticians. Incumbents work with multidisciplinary teams of scientists in a dynamic, highly challenging, and innovative atmosphere of development, evaluation, and research of drug and therapeutic biologics.
Postdoctoral Fellow in Biostatistics at URI
University of Rhode Island
A postdoctoral fellow is sought to conduct innovative research to develop causal inference methodology combined in novel ways with network science and epidemiological modeling to solve critical challenges at the nexus of HIV and substance use for network-based studies of HIV treatment and prevention among people who use drugs. The one-year position is funded by a five-year grant from the National Institute on Drug Abuse that supports methodological and collaborative research. The successful candidate will be appointed in the College of Pharmacy at the University of Rhode Island and will work under the mentorship of Drs. Ashley Buchanan and Natallia Katenka and collaborate with experts in a variety of fields including Medicine, Epidemiology, Statistics, and Public Health.

Applicants should have a doctoral degree in biostatistics, statistics, mathematics, computer science, or a related field. Applicants should be interested in performing innovative causal inference and network science research to allow cutting-edge solutions for important applied problems among people who use drugs. Applicants interested in epidemiological modeling approaches are also encouraged to apply. Areas of particular relevance include causal inference, specifically interference (spillover or dissemination), network science, HIV/AIDS and substance use treatment and prevention. A background in one of these areas would be helpful but not imperative. Strong statistical programming skills are required (R, SAS, Python).

Submissions should include a letter of intent, curriculum vitae, and names and contact information for three references.
Link: https://web.uri.edu/ncipher/postdoctoral-fellowship-in-biostatistics/
Research Associate/Data Analyst III
University of Rhode Island
Work under the direction of faculty investigators to program and analyze data for the evaluation of causal effects in network-based studies of HIV prevention among people who use drugs. Assist in developing and implementing new methods at the intersection of causal inference and network science, performing analyses of network and clustered studies, writing project reports, and presenting results to the study team and external collaborators. Liaise with team members and collaborators and have project related responsibilities across multiple study databases.

Please apply through the website: https://jobs.uri.edu/postings/9565
Link: https://jobs.uri.edu/postings/9565
Tenure Track Open Rank Faculty Positions in Biostatistics
Temple University
We invite applications for faculty specializing in biostatistics to join the Department of Epidemiology and Biostatistics in summer 2022. Those with a strong background in spatial statistics and statistical methods for intervention trials including multilevel interventions, longitudinal data analysis and complex health data are especially encouraged to apply.
Link: https://cph.temple.edu/sites/cph/files/CPH_OpenFacultyPosting-EpiBio-TTFacultyBiostat_0.pdf
Statistical Scientist, Trial Design & Analysis
Berry Consultants
Berry Consultants, a growing consulting company in the design and implementation of complex innovative adaptive clinical trials, is searching for a Statistical Scientist. The successful applicant will play a key role in the growth and success of Berry Consultants. Berry Consultants has a world-wide client base that includes pharmaceutical, biotech, medical device companies, as well as contract research organizations, non-profit patient advocacy groups, government organizations, and academic centers. Please see additional details at https://www.berryconsultants.com/about-us/career-opportunities-at-berry-consultants/
Link: https://www.berryconsultants.com/about-us/career-opportunities-at-berry-consultants/
Harvard Biostat Postdoc - Health disparities
Harvard TH Chan School of Public Health
The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a Postdoctoral Research Fellowship focused on the development of statistical methods for population health disparities. The postdoctoral fellow will work with Dr. Briana Stephenson and collaborate with a multidisciplinary research team to develop innovative statistical and machine learning methods to address and identify bias and inequities in population health. Areas of interest include: identifying bias in healthcare access and delivery, statistical methods for high-dimensional exposures in minority populations, model-based clustering techniques for understudied populations, and survey sampling methodology for diverse population cohorts. Research applications will utilize data from cancer registries, national survey studies, and large prospective cohort studies. The postdoctoral fellow will develop their research and training agendas through formal mentorship, seminars, conferences, and an Individual Development Plan (IDP) to explore and identify the fellow’s professional needs and career objectives.
Link: https://academicpositions.harvard.edu/postings/10252
Open rank faculty positions
University of Texas MD Anderson Cancer Center
The University of Texas MD Anderson Cancer Center has several incredible opportunities for multiple tenure/tenure-track open rank (assistant/associate/full) professors to direct cutting-edge basic, translational, clinical, population, or data science research programs. We seek candidates to join Department of Biostatistics at MD Anderson in advancing methodology research in biostatistics and data science, making discoveries to improve health, and providing an innovative biostatistics education. Responsibilities include methodological and collaborative research, teaching, and mentorship of graduate students. Applicants should demonstrate prowess in interdisciplinary, collaborative scientific research. A Ph.D. in statistics, biostatistics, or a related quantitative field is required.

Application should be emailed to: researchrecruitment@mdanderson.org. Detailed description and instruction are provided at the pdf document for institutional faculty recruitment.

Researchers at MD Anderson are empowered to conduct cross-disciplinary, collaborative science to accelerate discovery, including implementing speculative approaches that might yield radical innovation. The institution invested more than $900 million in research last year, and it has made significant investments for the future.
Link: None
POST-DOCTORAL POSITION IN HUMAN QUANTITATIVE GENOMICS
Case Western Reserve University
Postdoctoral Fellow, working with Department Chair, Jonathan L. Haines, PhD, focusing on quantitative genomic studies related to Alzheimer’s disease and other neurological disorders. The successful candidate should have a PhD (or equivalent experience) in genetics, genomics, epidemiology, computational biology, bioinformatics, biostatistics, or computer sciences, and have experience or interest in computational, analytical, or statistical genomics research.
The Department of Population & Quantitative Health Sciences (https://case.edu/medicine/pqhs/) and the Cleveland Institute of Computational Biology (http://www.icompbio.net/) provide a strong and supportive intellectual environment for post-doctoral trainees. The successful applicant will have access to numerous large-scale genotyping and sequencing datasets for analysis and the opportunity to join in several large genomic consortia efforts.
Postdoctoral salary base pay will be commensurate with experience. This position is eligible for full- time benefits. See the following link for a summary of benefits (https://case.edu/hr/benefits). Case Western Reserve University strives to maintain a diverse and inclusive work environment. All applicants are protected under Federal law from discrimination based on race, color, religion, sex, national origin, disability, age, and genetics. Hiring is contingent upon eligibility to work in the United States.
Interested candidates should forward a cover letter, their C.V., and at least two letters of recommendation to the address below. All materials should be sent to:
Post-Doctoral Search Committee
Cleveland Institute for Computational Biology
c/o Julie Riling
Case Western Reserve University, School of Medicine Wolstein Research Building 2-533
Cleveland, Ohio 44106-4945
Email: JXR634@case.edu
Phone: (216) 368-3197

Link: https://case.edu/medicine/pqhs/sites/case.edu.pqhs/files/2021-05/Post-doc%20fellow%20Haines%20lab.pdf
Research Biostatistician
Memorial Sloan Kettering
Memorial Sloan Kettering Cancer Center has positions available for Masters level biostatisticians. The successful applicant will engage in a wide variety of collaborative projects with medical investigators and statisticians. Projects involve the design, analysis and publication of clinical, laboratory or genomic research.

Qualifications include a Master’s degree in biostatistics, statistics or related discipline, excellent programming skills, proficiency in statistical software packages, database manipulation, and good verbal and written communication skills.

Please email cover letter and CV. to: EPIBIOSTATS@mskcc.org.

MSKCC is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply.

Email
EPIBIOSTATS@mskcc.org
Link: https://www.mskcc.org/departments/epidemiology-biostatistics/jobs/research-biostatistician
Principal Biostatistician
Memorial Sloan Kettering
The Biostatistics Service, a group of 45 doctoral and MS-level biostatisticians, is seeking highly motivated and successful doctoral-level individuals to join them as a Principal Biostatistician.

You will:
Participate in collaborative research between the Biostatistics Service and one or more of the clinical, translational, or basic science groups in the institution.
Support clinical collaborators in the design of studies, analysis of data, and interpretation and communication of results.
Act as either the lead statistician for a project or, depending on the nature of the project, collaborate with a team of biostatisticians.

You have:
A doctoral degree in statistics, biostatistics, or a related field.
Proficiency in a statistical programming language (such as SAS, Stata, or R).
Experience with collaborative research (including creating and maintaining data files, analyzing data, interpreting results, and manuscript writing).
Excellent verbal and written communication skills.
A strong commitment to statistical collaborations with medical and basic science investigators.
The ability to manage multiple projects, collaborations, and deadlines.

MSKCC is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Email
EPIBIOSTATS@mskcc.org

See Website To Apply: https://www.mskcc.org/departments/epidemiology-biostatistics/jobs/doctoral-level-biostatistician
Link: https://www.mskcc.org/departments/epidemiology-biostatistics/jobs/doctoral-level-biostatistician
Postdoctoral Research Associate
University of North Carolina at Chapel Hill
The Department of Biostatistics at the University of North Carolina at Chapel Hill is seeking candidates with a PhD in statistics/biostatistics, computer science or related fields to fulfill a full-time post-doctoral research associate position available immediately in Dr. Quefeng Li's group. More details about Dr Li's research can be found at his website: https://www.bios.unc.edu/~quefeng/. The position remains open until filled.

Duties & Responsibilities: The position will have the opportunity to develop new statistical methods for analyzing big biomedical data. The research areas will include, but not limited to, statistical methods for the integrative analysis of multimodal genetic/imaging data; algorithms for performing integrative analysis with incomplete data; and related theoretical problems. The position will also have the opportunity to conduct collaborative biomedical research in areas such as cardiovascular disease and Alzheimer's disease.

Position Qualifications: Ph.D. degree in biostatistics/statistics, computer science or related fields. The following skills are desirable: research experience in high-dimensional statistics or machine learning; experience in neuroimaging data analysis; excellent programming and communication skills.

Application Instructions: Applicants should email a research statement, CV, and contact information of two references to Dr. Quefeng Li (quefeng@email.unc.edu). For preliminary inquiries or questions, please send emails to the same email address.
Link: https://unc.peopleadmin.com/postings/218063
Biostatistician
Moderna
Multiple biostatistician positions are available in Moderna,
https://modernatx.wd1.myworkdayjobs.com/en-US/M_tx/job/Cambridge-Massachusetts/Biostatistician--Statistical-Data-Analysis_R7946
https://modernatx.wd1.myworkdayjobs.com/en-US/M_tx/job/Cambridge-Massachusetts/Manager--Statistical-Data-Analytics_R7947

https://modernatx.wd1.myworkdayjobs.com/en-US/M_tx/job/Cambridge-Massachusetts/Statistician--Biostatistics_R7948
https://modernatx.wd1.myworkdayjobs.com/en-US/M_tx/job/Cambridge-Massachusetts/Manager--Biostatistics_R7950-1
Manager, Statistics
Takeda Pharmaceuticals




Link: https://takeda.wd3.myworkdayjobs.com/External/job/Boston-MA/Senior-Manager--Statistics_R0056428
Data Scientists
University of Texas Southwestern Medical Center
The Department of Population and Data Sciences and the Quantitative Biomedical Research Center at the University of Texas Southwestern Medical Center (UTSW) is seeking candidates for biostatistician and data scientist positions.
UT Southwestern is establishing a 21st-century school of public health, the Peter O’Donnell Jr. School of Public Health School, cemented in its core research strengths and reinforced through integral collaboration with area institutions and health systems. UTSW has more than 2,800 full-time faculty who garner more than $524 million in annual grant funding for research. UTSW’s outstanding Department of Population and Data Sciences, with more than $8 million in research funding annually and emerging leadership in population health, will serve as the foundation for building the new school.
The Quantitative Biomedical Research Center (QBRC) is a renowned research center at UTSW. It aims to develop innovative quantitative and data science methodology and foster collaborations involving quantitative methods and technologies in any aspect of biomedical research. The center is developing a new Data Science Initiative for Precision Health and is actively recruiting new members to join its dynamic group.

UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-workhere/diversity-inclusion/

To apply, please send a CV to Dr. Guanghua Xiao (Guanghua.Xiao@UTSouthwestern.edu).


Link: https://qbrc.swmed.edu/
Open-rank Faculty Positions in Data Science
University of Texas Southwestern Medical Center
The Department of Population and Data Sciences and the Quantitative Biomedical Research Center at the University of Texas Southwestern Medical Center (UTSW) are seeking candidates for open-rank faculty positions in biostatistics and data science.

UT Southwestern is establishing a 21st-century school of public health, the Peter O’Donnell Jr. School of Public Health School, cemented in its core research strengths and reinforced through integral collaboration with area institutions and health systems. UTSW has more than 2,800 full-time faculty who garner more than $524 million in annual grant funding for research. UTSW’s outstanding Department of Population and Data Sciences, with more than $8 million in research funding annually and emerging leadership in population health, will serve as the foundation for building the new school.

The Quantitative Biomedical Research Center (QBRC) is a renowned research center at UTSW. It aims to develop innovative quantitative and data science methodology and foster collaborations involving quantitative methods and technologies in any aspect of biomedical research. The center is developing a new Data Science Initiative for Precision Health and is actively recruiting new members to join its dynamic group.

UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-workhere/diversity-inclusion/

To apply, please send a cover letter and curriculum vitae (CV) to Dr. Guanghua Xiao (Guanghua.Xiao@UTSouthwestern.edu).
Link: https://qbrc.swmed.edu/
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