About this opportunity
ApTask Global Workforce lists this Data Scientist – Onsite opportunity in cambridge, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Aptask Global Workforce (AGW) is seeking a Data Scientist – Onsite for a position with a Pharmaceutical Company located in Cambridge, MA. This is a 23+ month contract opportunity.
We are looking for a data scientist who combines deep expertise in human genetic data analysis with strong machine learning capabilities and hands‑on experience integrating multi‑omics data. This role supports target identification, patient stratification, and biomarker discovery efforts within the Precision Genetics group.
Responsibilities:
Data Ingestion: Query and harmonize external resources to acquire relevant genetic, genomic, and multi‑omics datasets
Genetic/Genomic Data Analysis: Perform quality control (QC) and analysis of genetic/genomic data, including genotype imputation, variant calling and annotation
Statistical Genetics: Conduct genetic association analyses at scale, including GWAS/PheWAS, rare‑variant burden tests, fine‑mapping, colocalization, polygenic scores, and Mendelian randomization
QTL Analysis: Conduct QTL analysis to identify genetic loci associated with quantitative and molecular traits, including eQTL, sQTL, and pQTL mapping
Population Genetics Analysis: Analyze genetic variation across populations, including allele frequency estimation, linkage disequilibrium, relatedness, and ancestry/population structure analysis
Machine Learning: Develop, benchmark, and validate machine learning models on high‑dimensional genetic and molecular data for tasks such as variant effect prediction, patient stratification, and biomarker or treatment‑response prediction
Multi‑Omics Data Integration: Integrate genetic datasets with other omics layers, including transcriptomic, epigenomic, proteomic, and spatial data to provide comprehensive insights into gene function and disease biology
Documentation and Reproducibility: Prepare detailed documentation of analysis methods and results, and deliver version‑controlled, reproducible analysis workflows
Requirements:
Ph.D. in Genetics, Genomics, Statistical Genetics, Computational Biology, or a related field
A proven track record of over 5 years in genetic data analysis
Strong understanding of statistical methods and genetic data analysis and integration (e.g., variant analysis, GWAS and QTL mapping, population genetics, genomic annotations)
Demonstrated experience applying machine learning to high‑dimensional biological data, including feature engineering, model selection, and validation
Hands‑on experience integrating multi‑omics data (e.g., transcriptomics, proteomics, epigenomics) with genetic data
Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses
Experience with high‑performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets)
A collaborative and self‑motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment
Excellent written and verbal communication skills
Desired skills:
Experience with real‑world and large‑scale biobank genetic data (e.g., UK Biobank, All of Us, FinnGen, electronic health record‑linked cohorts)
Experience with deep learning approaches for genomics, including sequence‑based and variant‑effect prediction models
Familiarity with single‑cell and spatial transcriptomics analysis
Experience supporting drug target identification and validation, or biomarker discovery in a pharmaceutical or biotechnology setting
Familiarity with workflow managers (e.g., Nextflow, Snakemake) and containerization (e.g., Docker, Singularity)
Pay range: up to $106.59 per hour
Only candidates available and ready to work directly as Aptask Global Workforce (AGW) employees will be considered for this position.
Benefits of working with ApTask Global Workforce include:
Medical
Dental
Vision
Sick Pay (for applicable states/municipalities)
ApTask Global Workforce is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.
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Worksite address
cambridge, MA, 02140, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.