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Computational Scientist II

Software Guidance & Assistance

South San Francisco, CA

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JOB DETAILS
SALARY
$43.92–$65.19 Per Hour
SKILLS
Analysis Skills, Bioinformatics, Biology, Biotech and Pharmaceutical, Chemistry, Clinical Data, Communication Skills, Computer Science, Cross-Functional, Customer Support/Service, Data Analysis, Data Modeling, Data Science, Data Sets, Disease Treatment, Genetics, Healthcare, Leading Edge Technology, Mathematics, Physical Science, Problem Solving Skills, Publications, Python Programming/Scripting Language, Staff Development, Statistical Modeling, Statistics, Team Player
LOCATION
South San Francisco, CA
POSTED
5 days ago
Software Guidance & Assistance, Inc., (SGA), is searching for a Computational Scientist II for a contract assignment with one of our premier Pharmaceutical clients in South San Francisco, CA.

Responsibilities :
We are seeking a highly motivated and collaborative Computational Scientist to join labs within the firm's Research and Early Development. The successful candidate will derive actionable insights from high-content perturbation screens of ex vivo systems. This role requires a deep understanding of computational methods for analyzing sequencing-based, multi-conditional perturbation data (e.g. Sci-plex, Perturb-seq, CROP-Seq), a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.
  • Analyze large-scale high-content sequencing-based perturbation datasets
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.
Required Skills:
  • PhD degree in quantitative field (​e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus.
  • Proven track record of analyzing large-scale multi-conditional scRNA-seq datasets
  • Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease.
  • Proficiency in scientific programming in Python.
  • Strong background in statistics, probabilistic modeling and data analysis.
  • Excellent communication, collaboration, and problem-solving skills.
  • Strong publication record and experience contributing to research communities.
Preferred Skills:
  • Experience with the analysis of Perturb-seq/CROP-seq data, or more generally with CRISPR data
  • Multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data
  • Experience with workflow managers such as nextflow or snakemake
  • Practical experience with working on HPC systems / SLURM
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

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Software Guidance & Assistance

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