Bioinformatics Scientist - III; Senior - Onsite

Aptask Global Workforce (AGW) is seeking a Bioinformatics Scientist - III (Senior) for an Onsite position with a Major Pharmaceutical Company located in Cambridge, MA. This is a 23 month contract opportunity.

The Complex Disease Genetics (CDG) group is seeking a motivated scientist to support Cambridge-based research initiatives in complex disease genetics. The candidate will contribute to the analysis of large-scale datasets to support target identification and validation and the implementation of precision medicine strategies across therapeutic areas by leveraging large-scale data resources to advance the drug development pipeline through human genetics.

Responsibilities:

• Perform statistical genetics analyses for target discovery and validation using human genetics and multi-omics data
• Support the development, implementation, and maintenance of analytical pipelines for reproducible genetic and genomic data analysis
• Conduct genetic association analyses using large-scale biobank data (e.g., UK Biobank, Finn Gen, Our Future Health, Alliance for Genomic Discovery)
• Integrate and analyze public and proprietary genetic association summary statistics and conduct meta-analyses
• Perform post-GWAS analyses to help elucidate causal mechanisms and prioritize gene targets (e.g., fine mapping, colocalization, Mendelian Randomization, TWAS, polygenic risk prediction)
• Assist in integrating genetic association findings with multi-omics data (e.g., RNA-seq, ATAC-seq, QTLs) to support target prioritization
• Stay current with new methods in statistical genetics and participate in evaluating and implementing emerging analytical techniques
• Collaborate with wet-lab biologists, disease area experts, and data scientists to support research and patient stratification strategies

Requirements:

• PhD (or equivalent) in statistical genetics, genetic epidemiology, population genetics, computational biology, bioinformatics, biostatistics, epidemiology, or a related quantitative discipline, with a minimum of 5 years of postdoctoral or equivalent research experience in complex disease genetics
• Research experience in human genetics, genomics, or related analysis, including genome-wide association studies (GWAS) and/or multi-omics analysis
• Familiarity with analytical pipelines and best practices for reproducibility and scalability in genetic data analysis
• Proficiency in programming languages commonly used in statistical genetics (e.g., R, Python, etc.)
• Experience working with large-scale datasets in cloud-based computing and high-performance computing environments
• Strong communication and interpersonal skills, with the ability to work effectively in multidisciplinary teams

Desired skills:

• Experience with molecular phenotypes, such as transcriptomics or proteomics
• Interest or background in cardiovascular/metabolic diseases, immunology, neuroscience, or other complex diseases
• Experience with AI/ML methodology and/or application to genetics and omics analysis

Pay range: $82.16 - $92.16 per hour

Only candidates available and ready to work directly as Aptask Global Workforce (AGW) employees will be considered for this position.

If you have the described qualifications and are interested in this exciting opportunity, apply today!

Aptask Global Workforce (AGW)

ApTask Global Workforce (AGW) is a certified Minority and Veteran workforce solutions company. AGW delivers operational, clinical, lab and professional talent with a strong focus on healthcare and life sciences. The company supports clients with reliable staffing, program expertise and a commitment to quality, speed and consistent delivery.

Benefits of working with ApTask Global Workforce include:

• Medical
• Dental
• Vision
• Sick Pay (for applicable states/municipalities)

Our team stays close to the process and is here to guide you every step of the way. To learn more, please visit our website

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.