Sign upLog in

Bioinformatics Scientist

Net2Source

Cambridge, MA

Apply
JOB DETAILS
SALARY
$105–$106.59 Per Hour
SKILLS
Agile Programming Methodologies, Alliance/Partner Management, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Bash Scripting, Best Practices, Bioinformatics, Biology, Biostatistics, Biotech and Pharmaceutical, CDMA Development Group, Cardiovascular Disease, Cloud Computing, Communication Skills, Computer Systems, Cross-Functional, Data Analysis, Data Science, Data Sets, Disease, Drug Development, Drug Discovery, Epidemiology, Establish Priorities, Genetic Diseases, Genetics, Genomics, Genotyping, Immunology, Industry/Trade Analysis, Interpersonal Skills, Leadership, Medicine, Metabolic Disorders, Neuroscience, Programming Languages, Proteomics, Python Programming/Scripting Language, R Programming Language, Risk, Sales Pipeline, Scientific Research, Statistics, Team Player
LOCATION
Cambridge, MA
POSTED
2 days ago
Join a Global Leader in Workforce Solutions – Net2Source Inc.

Who We Are
Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision—Right Talent. Right Time. Right Place. Right Price.

Job Title: Bioinformatics Scientist - III (Senior)
Location: Cambridge, MA 02141
Duration: 24 Months Contract

Pay Rate: $106.59/Hr on W2

Shift: Monday-Friday (8:00 AM to 5:00 PM) – 40.00 Hours/Week  
 
(Job Details)
 
Contractor, Complex Disease Genetics
 
The Complex Disease Genetics (CDG) group within client's Data, AI and Genome Sciences (DAGS) Department is seeking a motivated scientist to support our Cambridge-based research initiatives in complex disease genetics. We welcome applications from scientists with a graduate degree (PhD or equivalent) in statistical genetics, genetic epidemiology, computational biology, biostatistics, or a related quantitative field with hands-on experience analyzing human genetics and multi-omics data.
client has invested in external partnerships and collaborative initiatives to accelerate innovation in drug discovery and development. The CDG group leverages large-scale data resources, such as FinnGen, the Alliance for Genomic Discovery, Our Future Health, UK Biobank Pharma Proteomics Project, Open Targets, and other public and proprietary datasets, to advance client's drug development pipeline through human genetics. The candidate will contribute to the analysis of these large-scale datasets to support target identification and validation and the implementation of precision medicine strategies across therapeutic areas.
 
In this exciting role, you will:
  • 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, FinnGen, 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
 
Required Experience and Skills:
  • 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 year 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 could-based computing and high-performance computing environments
  • Strong communication and interpersonal skills, with the ability to work effectively in multidisciplinary teams
 
Preferred Experience and 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.
 
Note:
• Please add publication on the resume.
• Onsite role at Cambridge, MA.
• Do not submit candidates who are looking for remote.
• Do not submit candidates with just BS/MS.
 
Manager would like to consider people with 5+ year post PhD experience. Please only submit these candidates. Anyone with less than 5+ year relevant experience with be rejected.
Looking for strong experience with multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq, genotype, spatial transcriptomics, OLINK).
• 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).
• Most important, someone who can work oniste. No hybrid or remote.
• We would like to have someone with at least five years of experience after PHD.
• Our team specifically is required to be on site.
• Looking for multi omics experience.
• Looking for both bulk and single cell experience.
• Some spatial transcriptomics would be nice.
• So Olink, some proteomics experience and genotype data experience.
• Candidate will be working on the External datasets.
• Nonlocal is Ok as long as they are able to relocate at the own expense for the start date.
 
Key Skills: • Required expertise with multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq. • Transcriptomics analysis. • Proficiency in R and Bash. • High-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).

Why Work With Us?
We believe in more than just jobs—we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.

Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.

Awards & Recognition
• America's Most Honored Businesses (Top 10%)
• Fastest-Growing Staffing Firm by Staffing Industry Analysts
• INC 5000 List for Eight Consecutive Years
• Top 100 by Dallas Business Journal
• Spirit of Alliance Award by Agile1

#LS01

About the Company

N

Net2Source

Net2Source Inc. is a Global Workforce Management Solutions Company, headquartered in New Brunswick, NJ with its local offices in Texas, California, Florida, Illinois, Colorado and Michigan and its global operations in Canada, UK, Europe, UAE, Malaysia, Australia, China, Singapore and India. Net2Source offers a wide gamut of consulting solutions customized to specific client needs including but not limited to Application Development, Workforce Management and Project Consulting. Whether it’s a Fortune client, whether it’s a System Implementer or whether it is a Start -up, our recipe to success – Exceed expectations! Under promise, over deliver.
COMPANY SIZE
50 to 99 employees
INDUSTRY
Other/Not Classified
WEBSITE
http://www.net2source.com

Resume Resources

Free Resume TemplatesFree Resume Builder