Product Analyst
| Company | MSD |
|---|---|
| Location | Cambridge, MA, USA, Boston, MA, USA, North Wales, PA, USA, Linden, NJ, USA |
| Salary | $111400 – $175300 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level |
Requirements
- Bachelor’s degree in a relevant STEM field such as Biology, Bioinformatics, Computer Science, or a related discipline. Biology and bioinformatics experience preferred.
- Imaging experience strongly preferred.
- Expert in Halo, Signals Image Artist, matlab, and similar platforms.
- Knowledge of R, python, and SQL strongly preferred.
- Proven experience (3+ years) as a Product Analyst, ideally in projects related to high content imaging, flow cytometry, or digital pathology.
- Familiarity with Jira or equivalent project management tools for requirements tracking and issue management is strongly preferred.
- Strong analytical, critical thinking, and problem-solving abilities.
- Excellent communication, interpersonal, and presentation skills.
Responsibilities
- Collaborate with stakeholders to identify business needs and goals. Discover the value of the work that is being proposed in order to prioritize effectively.
- Conduct research to discover potential products, tools, and technologies that align with project objectives.
- Engage with business users, scientists, and technical teams to understand core requirements for HCI infrastructure and applications.
- Document and analyze user needs, functional specifications, and system requirements.
- Translate requirements into actionable deliverables, ensuring alignment with project goals and constraints.
- Work closely with data engineering and IT teams to coordinate transfer of high content imaging datasets.
- Ensure data transfer complies with security, privacy, and data quality standards.
- Conduct risk assessments and impact analyses to identify potential risks, challenges, and dependencies in high content imaging projects.
- Develop risk mitigation strategies, defining contingency plans to minimize project disruptions.
- Monitor and track risk mitigation efforts, communicate updates to stakeholders, and recommend adjustments as needed.
- Collaborate with cross-functional IT teams such as data science, software development, and infrastructure to ensure seamless integration and interoperability of high content imaging initiatives.
- Coordinate dependencies, resolve conflicts, and promote collaboration to achieve project goals.
Preferred Qualifications
- Experience working in a good laboratory practice environment preferred.