Computational Scientist

BEPC Inc. - Business Excellence Professional Consulting; South San Francisco (CA); Hybrid; USD 62,000 - 76,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Job summary

BEPC Inc. is seeking a highly motivated Computational Scientist to join our client’s site in South San Francisco, CA. This role will support the development and application of analytical approaches to integrate and interpret genetic, genomic, and clinical data.

The candidate will have a strong hands-on background in genetic epidemiology, statistical genetics, or computational biology, with experience in GWAS, RNA‑Seq, scRNA‑Seq and multimodal data integration.

Qualifications

• PhD or MS in statistical genetics, computational biology, bioinformatics, or a related field.
• Extensive experience with large-scale genetic/genomic data analyses (GWAS, RNA-Seq, scRNA-Seq, scATAC-Seq).
• Fluency in R and Python; shell scripting.
• Experience with Git and HPC environments (SLURM).
• Strong communication and teamwork skills; ability to work with minimal supervision.

Responsibilities

• Collaborate with scientists to analyze large genetic/genomic/clinical datasets.
• Develop analytical methods to integrate and interpret data for disease biology insights.
• Implement machine learning approaches to relate imaging and omics data.
• Coordinate intake and preparation of new datasets for analysis.
• Document analyses, code, and findings; present to cross-functional teams.

Skills

R

Python

Shell scripting

Git

HPC

Communication

Teamwork

Independent work

Education

PhD or MS in Statistical Genetics / Computational Biology / Bioinformatics

Tools

SLURM

Job description

BEPC is actively looking for Computational Scientist, in South San Francisco, CA area!

W2 Contract - 12 months with possible extensions!

Benefits include medical, dental, vision, and life insurance

Pay Rate: $45.00 - $54.95/ hour - Determined based on experience (Paid Weekly)

Flexible Work Model: This position may be offered as hybrid or remote, depending on business needs and team requirements. Candidates should ideally be based in a U.S.-friendly time zone to support effective collaboration.

Note: This is a W2 only role — C2C, C2H will not be considered

Summary of the Role:

BEPC is seeking a highly motivated Computational Scientist to join our client’s site in South San Francisco, CA. This role will support the development and application of analytical approaches to integrate and interpret genetic, genomic, and clinical data.

The position requires a highly independent computational scientist with a strong hands‑on analytical background in genetic epidemiology, statistical genetics, or computational biology. The role will focus particularly on integrating multiple sources of human biological data, including whole genome sequencing and single‑cell RNA‑Seq/ATAC‑Seq data, with an emphasis on emerging multimodal data integration methods.

Summary of Duties and Responsibilities:

• Collaborate with scientists in Human Genetics department to analyze large datasets of genetic, genomic, and clinical data from internal studies (including our clinical trials and high throughput screens), collaborations with academic and industry partners, and public external data sets
• Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology to propel our translational goals
• Implement novel machine learning algorithms to understand associations between imaging and omics data
• Coordinate the intake and preparation of new datasets as they become available for analysis
• Document process, findings, and code
• Present findings to the department and cross-functional collaborators and contribute to publications.

Main Qualifications:

• Education: PhD, or Master’s degree with significant experience, in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field.
• Extensive experience in large-scale genetic/genomic data analysis, including one or more of the following areas of expertise:
• Understanding of principles of genetic epidemiology.
• Association analysis with array- and sequence-based genetic data, including GWAS on human data.
• Analysis of sequence-based molecular assay data, such as RNA-Seq, including differential expression methods, single-cell sequencing data such as scRNA-Seq and scATAC-Seq, and/or proteomic data.
• Integration of genetic and molecular data for multimodal analyses.
• Fluency in R, Python, and shell scripting.
• Experience working with Git and high-performance computing, such as the SLURM scheduling manager.
• Curiosity and desire to learn more about human genetics, bioinformatics, and biology.
• Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making sensible independent decisions.
• Good communication skills and experience working as part of a team.

Preferred Qualifications:

• Some familiarity with C++.

About BEPC

BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth.