Computational Biologist & Project Manager in Genomics; Biostatistician

Overview

The Engreitz and Kundaje Labs are seeking a Computational Biologist / Project Manager (Biostatistician
2) to join the Department of Genetics to map the regulatory wiring of the human genome to discover genetic mechanisms of disease. The position is open, and a successful candidate could join immediately.

DNA regulatory elements in the human genome harbor thousands of genetic risk variants for common and rare diseases and could reveal targets for therapeutics that aim to precisely tune cellular functions. The labs aim to map the complex regulatory wiring that connects 2 million regulatory elements with 21,000 genes in thousands of cell types in the human body. They have developed new experimental approaches and computational methods that enable large‑scale mapping of this regulatory wiring.

The role involves improving predictive models of variants, enhancers, and genes and applying them to large single‑cell and CRISPR datasets generated by MorPhiC and IGVF consortia. Projects include developing computational models to interpret the function of non‑coding or coding variants across many human cell types.

The institution is Stanford University, Department of Genetics. The lab is located in the Biomedical Innovations Building. The position is full‑time, on site. Salary range is $112,292–$132,108 per annum.

Experienced computational biologist or bioinformatician with strong knowledge of molecular biology, genomics, and high‑throughput sequencing data analysis. Must be proficient in Unix, Python, R or equivalent, and have familiarity with CRISPR perturbation data. Excellent communication, organization, time‑management, and mentoring skills are required.

• Apply state‑of‑the‑art machine‑learning models to large datasets, including single‑cell and Perturb‑seq datasets.
• Interpret model performance and results.
• Develop standards and pipelines to enable expanded analyses across additional datasets.
• Interface with collaborators at Stanford and other labs to design and produce key methods and data analysis products.
• Track and manage contributions by other members of the labs to consortium activities.
• Design and implement generalizable algorithms and tools for analysis of biological data, including high‑throughput functional genomics assays.
• Evaluate and recommend new emerging technologies, approaches, and problems.
• Create scientifically rigorous visualizations, communications, and presentations of results.
• Contribute to generation of protocols, publications, and intellectual property.
• Maintain and organize computational infrastructure and resources.

• M.S. or Ph.D. in computational biology, genetics, computer science, statistics, mathematics, molecular biology, or related field, or equivalent practical experience.
• Demonstrated expertise in statistical methods in data analysis, preferably with applications to high‑throughput sequencing or other biological assays.
• Experience with data analysis and management, workflow management.
• Fluency in Unix and standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java).
• Strong knowledge of molecular biology and functional genomics.
• Mentor and train other lab members in computational biology and statistics.
• Excellent communication, organization, and time‑management skills.
• Creative, organized, motivated, team player.
• A passion for science and sense of urgency to find new medicines to benefit patients.

Master’s degree in biostatistics, statistics or related field and at least 3 years of experience.

• Proficient in at least two of R, SAS, SPSS, or STATA.
• Skills in descriptive analysis, modeling of data, and graphic interfaces.
• Outstanding ability to communicate technical information to both technical and non‑technical audiences.
• Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or…