Computational Biologist & Project Manager in Genomics (Biostatistician 2) jobs in United States
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Stanford University · 4 months ago

Computational Biologist & Project Manager in Genomics (Biostatistician 2)

Stanford University is seeking a Computational Biologist / Project Manager to join the Department of Genetics to map the regulatory wiring of the human genome and discover genetic mechanisms of disease. The role involves developing and applying computational models, managing collaborative projects, and improving predictive models for genomic data analysis.

EducationHigher EducationUniversities
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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 expand such analyses across additional datasets
Interface with collaborators at Stanford and in collaborating labs around the country to design and produce key methods and data analysis products
Track and manage contributions by other members of our 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
Other duties may also be assigned

Qualification

BioinformaticsStatistical methodsMachine learningProgramming PythonProgramming RUnix proficiencyMolecular biologyData analysisCommunication skillsOrganization skillsTime managementMentoringCreativityTeam player

Required

M.S. or Ph.D. in computational biology, genetics, computer science, statistics, math, 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, 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 MySQL); graphical techniques (e.g., expertise in Illustrator)

Benefits

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package.
The Cardinal at Work website provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees.
Specifics about the rewards package for this position may be discussed during the hiring process.

Company

Stanford University

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Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business.

H1B Sponsorship

Stanford University has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (12)

Funding

Current Stage
Late Stage
Total Funding
$26.52M
Key Investors
National Institutes of HealthCalifornia Institute for Regenerative MedicineGRAMMY Museum
2025-09-08Grant
2025-01-30Grant· $5.6M
2023-08-17Grant

Leadership Team

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Nadia Roumani
Co-founder and Senior Designer, Designing for Social Systems (DSS) Program, d.school
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Howard Wolf
Vice President for Alumni Affairs
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Company data provided by crunchbase