Job Description
The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals
The Precision Genetics group within Data, AI & Genome Sciences (DAGS) is seeking a self-motivated Co-op student (up to 6 months) to support large-scale proteomics, genetics, and multi-omics projects. You will work with scientists to develop reproducible analytical frameworks that integrate biobank-scale proteomic and other omics data to accelerate biomarker and target discovery. This role offers hands-on experience with state-of-the-art data analysis and opportunities to contribute to method development.
Key responsibilities
- Curate and preprocess biobank-scale proteomics and other omics datasets (e.g., UK Biobank) according to project needs.
- Integrate proteomics, genetics, and clinical data to perform association analyses and stratified analyses for target and biomarker discovery.
- Build and compare protein- and pathway-level causal networks across cohorts and disease states to interpret molecular relationships.
- Explore and develop statistical and AI/ML approaches leveraging multi-omics data for biomarker discovery and patient stratification.
- Collaborate with cross-functional teams (computational biology, statistical genetics, AI/ML, and therapeutic-area experts).
- Contribute to scalable, reproducible analysis pipelines and documentation.
Education
Currently enrolled in at least a bachelor’s program in statistics, biostatistics, bioinformatics, computational biology, data science, computer science, or a related field.
Graduate students (MS/PhD) are strongly encouraged to apply.
Available to work full-time for 6 months.
Preferred qualifications
- Experience analyzing large-scale omics datasets (proteomics, transcriptomics, genetics etc.).
- Familiarity with statistical genetics methods (GWAS, QTL, PRS etc.).
- Experience with biobank or consortium datasets and secure research environments (Databricks, DNAnexus, or similar).
- Proficient in R and/or Python; experience developing reproducible workflows and using version control.
- Experience with cloud or HPC environments and scalable/parallel workflow design.
- Knowledge of network/graphical models or ML methods applied to genomics.
- Strong written and oral communication skills.
Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Salary range:
The salary range for this role is $39,600.00-$105,500.00 USD
FTP2026
RL2026
Required Skills:
Preferred Skills:
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Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
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**Employee Status: **
Intern/Co-op (Fixed Term)
Relocation:
No relocation
VISA Sponsorship:
No
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Not Applicable
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
05/12/2026
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