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Inside Higher Ed · 3 weeks ago

Computational Biologist & Project Manager in Genomics (Biostatistician 2)

Stanford, CA

Full-time

Onsite

Mid Level

$112K/yr - $132K/yr

3+ years exp

Stanford University's Engreitz and Kundaje Labs are looking for a Computational Biologist / Project Manager (Biostatistician 2) to join their Department of Genetics. The role involves developing and applying computational models to interpret genomic functions and manage collaborative projects related to genetic mechanisms of disease.

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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 methodsHigh-throughput sequencingProgramming languagesMolecular biologyData analysisUnix proficiencyCommunication 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)