Jobs Posted on the Whova Community Board of NESS Symposium 2022
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Manager/Senior Manager, Statistics
Takeda Pharmaceuticals Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Senior Manager, Statistics, in our Cambridge office.<... br> At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
OBJECTIVE: The purpose of this position is to provide compound level / development phase statistical expertise and leadership by: • Independently designing, analyzing and interpreting clinical or observational studies at a compound level for early phase or less complex programs. • Providing strategic statistical input for feasibility assessments, development plans, cross-study analyses and regulatory submissions. • Improving and using standards to maximize global data integratability, interpretability and compound level efficiency. • Leveraging internal and external resources to achieve quality, timely and cost-effective compound level and submission deliverables. • Independently representing Statistics function in interactions with regulatory authorities.
Provide strategic statistical leadership and quantitative insights, including innovative techniques on design and analysis of non-interventional studies a... nd medical-evidence generation including the use of RWD sources. Collaborate effectively with stakeholders including but not limited to HEOR/Epidemiology, Medical Affairs, Clinical Development, Regulatory Affairs and Commercial to contribute to protocol development, authoring statistical analysis plans, and analysis and interpretation of study data. Promote and implement innovations in statistical methodology and ensure technical rigor in the design and analyses of observational research including the use of predictive modeling and machine learning techniques. Manage and analyze various data sources including real world databases (e.g. claims, EHR, registries) and clinical data on state-of-the-art cloud-based big data computing platform. Leverage data visualization and multiple analytic tools for RWE data requests, evaluating feasibility of analysis, managing analytic resource, executing statistical analysis plans to deliver results with high quality and in a timely manner Interface with IT to maintain and develop RWD analytic capacity and tools
Key Competencies:
Pharmaceutical, academic or consulting experience in observational research, real world data preferred Experience in providing statistical strategies in RWE study designs, developing statistical analysis plan and reporting deliverables Knowledge of observational and clinical trial design concepts, RWE methodology Hands-on analytical experience using claims data, EHR, digital health data, PRO data Ability to communicate with non-statisticians to interpret statistical findings Ability to collaborate with key stakeholders in a global, cross-functional and multi-cultural setting Strong project management skills
Link:https://careers.teva/job/West-Chester-Senior-Manager%2C-RWE-Statistics-Penn-19380/887064400/See More >>
Associate Director, Real World Evidence Statistics
Teva Pharmaceuticals Responsibilities: Provide strategic statistical leadership and quantitative insights, including innovative techniques on design and analysis of non-interventional studies and m... edical-evidence generation including the use of RWE data sources. Collaborate effectively with stakeholders including but not limited to Medical Affairs, HEOR/Epidemiology, Clinical Development, Regulatory Affairs and Commercial to engage in activities around evidence-generation, product lifecycle management, product defense and publications Responsibilities include collaboration with cross-functional teams on the design of observational studies, clinical trials with synthetic controls, contributing to protocol development, authoring statistical analysis plans and analysis and interpretation or study data. Promote and implement innovations in statistical methodology and ensure technical rigor in the design and analyses of observational research including the use of large real-world datasets, predictive modeling and machine learning techniques. Utilize various data sources including RWE databases (e.g. claims, EHR, registries) and clinical data on state-of-the-art cloud-based Big Data computing platform. Leverage data visualization and multiple analytic tools for data requests, evaluating feasibility of analysis, building study cohorts, executing statistical analysis plans to deliver results with high quality and in a timely manner
Link:https://careers.teva/job/West-Chester-PA-19380/880583600/See More >>
Senior/Principal Clinical Data Scientist with focus in Statistical Programming-Remote
Accountable for transforming, analyzing and reporting phase I-IV clinical trials and supports complex phase I-IV clinical trials or projects ... with established BI experience. Accountable for transforming, analyzing and reporting of other data from research and development like registries and real-world data bases with respect to a specific use case or project/asset. Keep abreast of data science and in particular new transformation and analyzing solutions and innovative processes/tools within and outside BI. Present compelling validated stories regarding data science aspects to BDS colleagues and colleagues within and outside of BI with basic knowledge in data science. Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. Support other colleagues, internal and external customer and external providers on data science related tasks. Participate in cross-functional human pharma internal working-groups or lead cross-functional BDS internal working-groups and drive/plan relevant data science aspects. If applicable supports the clinical drug development process as a BDS Product Owner on the level of projects/assets. Ensures cross-functional and team-based working within BDS and with neighboring units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking.
Senior/Principal Clinical Data Scientist with focus in Statistical Programming
Boehringer Ingelheim Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science, or related field (Psychology, Data Science, Finance, etc.) with a minimum of... five (5) years of data science experience; Or Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.) with a minimum of three (3) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science, or related field (Psychology, Data Science, Finance, etc. Advanced knowledge and hands-on experience in relevant software languages in recent years, in particular SAS. Additional R programming skills are of advantage Sound knowledge of CDISC standards, design of clinical trials or clinical experiments, basic medical terminology and processing clinical trial information Experience in clinical trial and drug development Experience in working in/with agile teams and/or as a product owner is a plus Ability to pro-actively identify issues and solutions, interact with internal and external team members on routine clinical data science issues Interpersonal skills. Interact effectively with people, internally and externally (e.g., CROs, experts, management) as well as evidence of strong teamwork, also in global and remote context. Oral and written communication skills to interact in interdisciplinary teams as well as the ability to explain, visualize and communicate complex data science aspects Fluency in written and spoken English
Link:https://www.linkedin.com/jobs/view/3040836455/?alternateChannel=search&refId=MXvVWTLQNkJD6LbE0%2BfzRQ%3D%3D&trackingId=tWP%2B8eYrq8SsBa7rBl8cWg%3D%3DSee More >>
Senior Data Scientist
Hartford Steam Boiler (Munich Re Group) In this position you will work independently on data science projects of any scale and is empowered to make methodological decisions within the scope of a given project. Act as a... mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. Work on a portfolio of projects simultaneously and are expected to adequately manage their own time to meet client expectations. Regularly interface with other divisions and groups within HSB and have a thorough understanding of their business strategies and goals.
Qualifications
Education and Experience:
Master’s degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required or equivalent work experience PhD in qualitative discipline is preferred 4+ years’ experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry Experience in feature engineering on structured and unstructured data Experience with Git or similar tool for version control Experience working with big-data technology on Linux-based systems. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills: Hands-on experience in Python, R, SQL, Scala Exposure to cloud computing (Azure, AWS, etc.) Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches Ability to write production-ready code
