Duration: 6+ Months
Job Description:The successful candidate will work closely with stakeholders in the
Quantitative Insights Lab (QuIL) organization to support
cross-project data science efforts spanning in silico
perturbation analysis, toxicogenomics, and mechanistic profiling. This work will contribute to the
development and evaluation of predictive and comparative frameworks that help
rank drug targets, drug combinations, and biological signatures across multiple experimental systems. This will include integrating
large-scale omics data to support combination strategy assessment across indications.
Responsibilities:- Support perturbation analyses to rank promising drug targets and drug combinations for efficacy prediction.
- Contribute to the development of combination signature estimation approaches and ranking frameworks.
- Ingest, clean, and preprocess multi-modal datasets to enable downstream analysis and modeling.
- Apply AI/ML methods where appropriate, including the use of large language models to accelerate analysis, coding, and workflow development.
- Demonstrate understanding of model development principles, including training, testing, and cross-validation, and help select appropriate models for specific problem types.
- Collaborate with scientific and technical teams to translate biological questions into computational solutions, execute and troubleshoot analyses, and communicate findings clearly and reproducibly.
Experience:- Proficiency in R or Python and standard statistics/ML libraries.
- Experience working in HPC or cloud environments for parallel computing
- Domain knowledge in bioinformatics, computational biology, or related omics-driven data science.
- Strong attention to detail, documentation, and communication skills.
- Ability to independently execute ideas and research solutions within project scope.
Skillsets:- RNA-seq, imaging data, CRISPR screens, NGS/genomic data, R and Python, HPC, AI/ML and LLM.
Education:- MS degree with 5+ years of experience or PhD with 0+ years of experience in a quantitative field such as Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI/ML, or a related discipline with strong computational training.
Additional Qualifications: Licenses: N/ACertifications: N/aShift Hours: Normal Business Hours About US Tech Solutions:US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit
www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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