The official conference app for RECOMB 2023: 27th Annual International Conference on Research in Computational Molecular Biology

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Jobs Posted on the Whova Community Board of RECOMB 2023: 27th Annual International Conference on Research in Computational Molecular Biology

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Postdoctoral Fellows in Computational Genomics
Weill Cornell Medicine of Cornell University
Ideal candidates must have a Ph.D. in Computer Science, Computational Biology, Engineering or a related life sciences field with quantitative skills. Excellent computational (e.g. Algorithms, Machine Learning, Mathematics), programming (e.g. Python, C/C++) and communication skills are required.
Candidates with prior experience in biomolecular sequence analysis or deep learning are desirable.
The successful candidate is expected to take leadership of some the exciting research questions we are actively perusing in the domains of characterizing (meta)genomes using current (and future!) sequencing technologies.
Please email your CV to "" along with a brief description of your background and future interest. Use the subject "Postdoctoral Fellows in Computational Genomics".

The salary range for this position is 70,000 to 82,000 USD per year (plus benefits, option for discounted housing in Manhattan, and research/travel allowances) based on work experience and skill set.

“ Weill Cornell Medicine provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information."
Computational Biologist - Image Analysis
10x Genomics
About the role:

10x Genomics is looking for an image processing expert to join the Computational Biology group. You will create image analysis methods to support development of our microscopy-based genomics products. You will work closely with our assay-development, software, and compbio teams to create image analysis methods that are robust, accurate, and computationally efficient.

Individuals applying for this position must be skilled in several areas of image processing, computer vision, and/or pattern recognition. It is expected that you will have deep experience with either image segmentation or image registration.

What you will be doing:

Collaborate with colleagues to understand often ill-defined image analysis problems. As an image analysis expert, you will help your colleagues refine the problem and understand trade-offs such as full automation versus reproducibility versus development cost
You will select from state-of-the-art methods, both old and new, rapidly implement, test, optimize, and verify those methods
You will develop models or simulations to understand, test, and communicate key trade-offs
You will help select and develop methods for quantitatively measuring success of the algorithms that you have developed
Finally, you will create high-quality, robust implementations of production algorithms that will perform well in the hands of both internal and external customers
To be successful in this role, you will need:

PhD or MS plus equivalent experience in a quantitative field (e.g., computer science, bioengineering, electrical engineering, physics, computational/systems biology or related field)

To learn more about the role visit:
Postdoc in bioinformatics/computational biology
Technical University of Denmark
Postdoc in machine learning for single-cell biology
Texas A&M University
The Chapkin Lab, Cai Lab ( and Ni Lab ( are looking for a talented, dynamic, and dedicated researcher who is a team player and excited to drive forward this project. Interested candidates should have a PhD in machine learning, bioinformatics, single-cell data analysis, and/or a related field and a demonstrable publication record. Those with experience in multi-omics, graphical/network models, data integration, and Bayesian statistics are particularly encouraged to apply. Experience in single-cell multi-omic data analysis and in collaborating with biomedical scientists would be highly beneficial. The candidate should have good programming and communication skills.
The anticipated start date is May 2023. For informal inquiries please contact Dr. Robert Chapkin (, Dr. James Cai ( and/or Dr. Yang Ni (
Applications are to be submitted through workday for Job number: R-060094 or R060097.
Non-TAMUS employees apply through external employment site
TAMUS employees will apply through workday career site.
Computational Biologist - Translational Applications
10x Genomics
We are looking for an outstanding individual to help define and bring about the future of 10x Genomics. You will work closely with talented biochemists, bioinformatics experts, software engineers, statisticians, physicians and other scientists to analyze and interpret data generated from our single-cell and spatial assays. Our products are enabling researchers to study biology at unprecedented resolution and scale, yielding insights in diverse fields including cancer biology, immunology, neuroscience, developmental and basic biology.

You will apply existing computational methods and develop new methods to analyze and understand large, multimodal, and complex datasets, including clinical information. Working both with internal groups and with external partners, you will help solve pressing translational and clinical problems by developing insights from analysis of high-resolution and high-throughput biological data. You will then communicate those results in presentations and reports. You will also contribute to the development of our software tools, so clinically useful information can be extracted from the data generated by our assays.
Senior Software Engineer in Test - Computational Biology
10x Genomics
We are looking for a Senior Software Engineer in Test - Computational Biology to join our team. This role requires you to work onsite at our headquarters in Pleasanton, CA.

You will be responsible for designing and developing tests and associated software tools to ensure the best possible customer experience. You will identify, generate, and evaluate data and metrics for testing our computational biology pipelines. You will work closely with software engineers and scientists to identify requirements and develop test plans and test cases for new and existing products. You will identify possible edge cases outside normal usage and develop tests to ensure support of a broader range of data. You will work with software support to help resolve customer issues. You will develop new tools to automate tests, support development, and contribute to existing automation.
Computational Biologist - Product Development / Single Cell
10x Genomics
We are looking for an outstanding individual to join our Computational Biology group. You will work closely with talented biochemists, microfluidics engineers, chemists and software engineers to analyze data generated from our single-cell and spatial genomic assays. Our products have allowed researchers to study biology at unprecedented resolution and scale, yielding insights in diverse fields such as cancer biology, immunology, neuroscience, developmental and basic biology.
You will develop analyses to measure, improve, and optimize product performance during a fast-paced product development cycle. This includes discovering issues through careful analysis of sequencing data and working collaboratively with the interdisciplinary product team to help resolve them. Working with our R&D group and with external partners you will solve problems by developing insights into high-resolution and high-throughput biological data.

You will also contribute to the development of our software tools so that all our users can benefit from your abilities to extract information from the data generated by our assays
Computational Biology - Scientist
Exai Bio
You will be joining the Computational Biology and Algorithms (CBA) group that is part of the Computational, Research and Engineering (CORE) team at Exai Bio. The CORE team is in charge of the R&D and deployment of the computational platform at the company. You will be working with top-tier engineers and scientists solving challenges in discovery of novel approaches for cancer detection and cancer biology. As a computational biology scientist you will be intimately involved in developing novel computational tools for analyzing the high-throughput next-generation sequencing (NGS) data generated in-house for discovery and validation of new cancer biomarkers. You will also be involved in cutting-edge computational research and pushing forward our understanding of cancer biology.

What will you do

Developing the algorithms and machine learning tools with the objective of early prediction of cancer and its subtypes using novel biomarkers
Applying bioinformatics tools to large-scale genomic datasets and analyzing NGS data to gain insights into biomarker and cancer biology
Working with experimental scientists to design new experiments and develop novel biomarkers and diagnostic assays
Working alongside software engineers to develop scalable computational pipelines and write in-house analytic packages

What You’ll Bring to the Team

4+ years of experience working in bioinformatics, genomics or related fields.
MS or PhD in relevant fields.
Ability to design and develop algorithms and machine learning tools
Proficiency in popular NGS data formats and tools such as SAM/BAM/VCF, samtools/bedtools, BWA/STAR/Bowtie2, etc.
Proficiency in Python, R, and relevant data/genomic analysis packages (pandas, numpy, bioconductor packages) along with experience working in distributed computing environments.
Excellent communication skills and ability to work with technical and non-technical partners from other teams.

Please send your resume to
Scientist, Single-Cell Multi-Omics
Altos Labs
The Kharchenko lab at Altos Labs San Diego Institute is studying how cells coordinate their activity within complex biological tissues, how these mechanisms break down in disease and injury, and the potential interventions that may improve tissue function. Much of the effort is focused on development and application of novel statistical methods and computational tools for understanding tissue function, including analysis of multi-omics and spatial assays.

The Scientist or Senior Scientist in this position will be expected to lead the development and application of computational methods for analysis of single-cell multi-omics and spatial omics data, in the context of biological studies of different diseases, aging and other processes impacting tissue homeostasis. Particular emphasis will be placed on deciphering cell communications, control of proliferation within tissues, as well as epigenetic regulation of individual cells. Successful candidate will collaborate with both internal and external experimental groups, lead or participate in planning experimental designs, author and contribute to biological and methodological manuscripts, and contribute to seminars and other scientific initiations within Altos as well as a wider scientific community.
Postdoc in functional genetics or genomics
New York Genome Center
The Lappalainen lab ( is looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. The specific project would be tailored according to the interests and expertise of the postdoc, but possible projects include developmental GTEx, regulatory variant mapping and characterization large single-cell data from T cells, analysis of transcription factors as drivers of genetic associations and regulatory networks, and integration of population genetics and CRISPR perturbation data. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. While this position is primarily for computational work, close collaboration with experimental scientists is encouraged. There are possibilities for co-mentorship with collaborating PIs at NY Genome Center and beyond.

We also have upcoming postdoc opportunities in Stockholm, Sweden.
Case Western Reserve University

We are seeking a highly motivated and skilled researcher in bioinformatics and systems biology to support collaborative, data-driven projects in Alzheimer’s Disease and related dementias. Our research focuses on understanding the temporal changes of key driver genes related to inflammatory changes over distinct clinical stages of AD and develop a clinical and research framework. Our goal is reaching to fundamental knowledge that can be used to develop treatments to stage and mitigate cognitive decline in AD and improve clinical care. Most recently, we discovered inflammatory pathway analyses predicting rapid cognitive decline in Mild Cognitive Impairment (MCI) stage of Alzheimer’s disease.

We employ next generation sequencing (NGS) technologies (RNAseq and scRNAseq) and proteomics (label-free and phosphoproteomics) to identify changes throughout the disease spectrum and carry out mechanistic studies to define the functions of these changes and their impact on the transcriptome and neurobiology. We are particularly interested in developing and testing hypotheses for novel pathways and biomarkers explaining these changes. The postdoctoral fellow will also work on integrating the vast amount of publicly available datasets and our novel datasets generated from patient samples in collaboration with the Cleveland Clinic.

The qualified candidate will:
- utilize systems analyses, network biology, pathway analysis techniques to analyze large omics datasets from proteomics, transcriptomics, and genomics.
- Present data at departmental seminars and scientific meetings, prepare manuscripts, and contribute preliminary data for grant proposals.
- Work/troubleshoot independently as well as understand and incorporate findings in the scientific literature into his/her research.
- Is expected to take a lead role in data analysis, interpretation, visualization, and manuscript preparation.

Postdoc in single-cell computational analysis
Duke University
Developing computational methods to decipher mechanisms of regulation and cell-cell signaling.

PI: Rohit Singh (currently Research Scientist at MIT, incoming faculty at Duke)
Postdoc in protein modeling and design
Duke University
Developing ML based approaches (e.g. based on protein language models or diffusion methods) to model protein interactions and to design new proteins.

PI: Rohit Singh (currently Research Scientist at MIT, incoming faculty at Duke)
Postdoc in single-cell multiomics
Knight Cancer Institute
Method/algorithm development for modeling of single cell multiomics datasets, including sc-ATAC, sc-HiC and sc-Methylation. Our lab is focused on developing interpretable algorithms to study the epigenomes and 3D chromatin organization of healthy and cancerous cell populations.
Algorithms for Selective Long-Read Sequencing (PostDoc)
ETH Zurich
The BMI Lab at ETH Zurich is looking for a postdoc to work on algorithms for selective long-read sequencing. Applications until April 30th - please have a look:
Bioinformatician / Computational Biologist
Institute of Molecular and Clinical Ophthalmology Basel (IOB)
The Institute of Molecular and Clinical Ophthalmology Basel (IOB) is seeking a highly motivated Bioinformatician / Computational Biologist to analyse single cell genomics data in support of IOB’s therapy development efforts.

IOB is a research institute associated with the University of Basel which combines basic and clinical research. Its mission is to drive innovations in understanding vision and its diseases and develop new therapies for vision loss. It is a place where your expertise will be valued, your abilities challenged, and your knowledge expanded.

IOB uses state of the art single cell genomics and epigenomics techniques to both understand vision and to test therapies aimed to restore vision. In your role, you will utilise your expertise to collaborate with our molecular research teams across the institute.

Senior Software Engineer
10x Genomics
10x is looking for a software engineer. You will be working on modern React-powered applications, incorporating modern front-end development techniques with the cutting edge of biology. One such application that has seen continued growth since its launch is Cloud Analysis. If you are the kind of person who is an avid fan of technology in all fields, not just your own, and want to apply your talent alongside a diverse team of experts every day, join us at 10x Genomics.

What you will be doing

Designing, building, testing, and shipping production-ready software.
Developing interactive applications for both the web and scientific instruments.
Collaborating with designers to create flexible, attractive visual components.
Creating pages and workflows in scientifically-focused software applications.
Minimum Requirements

Bachelor’s degree in computer science, engineering, math, or scientific discipline.
3 years of software development experience; OR 5 years of professional experience building software.
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