Talent Program - Research – Chemical Biology- Co-Op

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.

We are Chemical Biology in the Quantitative Biosciences department at Our Company, where we leverage robust scientific methodology and state‑of‑the‑art instrumentation to collaborate on driving the next medical breakthrough. Our mission is to advance the best drug candidates into the clinic by utilizing advanced capabilities that enable higher‑resolution interrogations of novel biology and elucidation of mechanisms of action.

We are seeking a highly motivated Co‑op scientist to contribute to our early drug discovery work. The successful candidate will focus on high‑content imaging, morphological profiling, and multimodal data integration to study complex biological systems and support molecular mechanism‑of‑action studies.

• Aggregate, organize, and analyze high‑content imaging data (e.g., cell painting, phenotypic profiling, live‑cell imaging) to integrate multimodal datasets.
• Perform hands‑on laboratory work including mammalian cell culture, perturbation experiments, and imaging‑based assay execution.
• Analyze and interpret datasets and present findings to team.

• Gain hands‑on experience in image‑based profiling and multimodal data integration.
• Develop skills in experimental design, computational data analysis, and data‑driven biological insight generation.
• Collaborate with experienced scientists in a fast‑paced research environment.

• Must be currently enrolled undergraduate or graduate student (BS, MS, or PhD) in biological sciences, bioengineering, computational biology, or related field.
• Must have experience with high‑content imaging or microscopy‑based data & analysis of multimodal biological datasets (examples: imaging data combinedwith RNA‑Seq, small molecule/CRISPR‑based high throughput screens, and / or proteomics data).
• Must possess proficiency with data analysis tools or programming languages (e.g., Python, R, MATLAB, or similar).

• Prior hands‑on experience with mammalian cell culture and imaging assays, including Cell Painting.
• Prior experience with multimodal data aggregation and visualization.

• Location:
  
  Cambridge, MA
• Commitment: 6 months (start date flexible; by June 15th, 2026)

The salary range for this role is $39,600.00-$ USD

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

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…