Computational Scientist

About the role

We are seeking a Computational Scientist to analyze and integrate large-scale genetic, genomic, and clinical datasets to support translational research and biological discovery. This role will apply statistical, computational, and machine learning approaches to generate insights from multimodal human data.

Responsibilities

• Analyze and interpret large-scale genetic, genomic, and clinical datasets.
• Develop analytical methods for multimodal data integration and biological discovery.
• Apply statistical and machine learning approaches to identify disease-relevant insights.
• Support data preparation, quality control, workflow development, and documentation.
• Develop reproducible code and analytical pipelines.
• Present findings to scientific teams and contribute to publications.
• Collaborate with cross-functional researchers to advance translational research objectives.

Qualifications

• PhD in Computational Biology, Bioinformatics, Statistical Genetics, Genetic Epidemiology, or a related field; Master's degree with significant relevant experience may be considered.
• Experience analyzing large-scale genetic and genomic datasets.
• Expertise in one or more of the following: GWAS, genetic epidemiology, RNA-seq, single-cell genomics, proteomics, or multimodal data integration.
• Strong programming skills in R, Python, and shell scripting.
• Experience with version control and high-performance computing environments.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a team environment.

Skills

• Experience with single-cell, spatial, or other advanced omics technologies.
• Experience applying machine learning to biological or multi-omics datasets.
• Familiarity with translational research and human genetics applications.
• Experience contributing to scientific publications and collaborative research projects.

Benefits

• Health coverage
• Life insurance
• Disability insurance
• 401k benefits