Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead development and execution of internal communications and change management strategies to align employees with organizational goals. Manage channels, create content (copywriting, speech writing), use data to improve communications, build stakeholder relationships, embrace technology, oversee project planning/budgeting, and mentor team members while resolving conflicts and driving adoption of communication initiatives.
Artificial Intelligence • Hardware • Healthtech • Software
The Director of Embedded Systems Engineering will lead the firmware organization, oversee technical roadmaps, process architecture, and integrate AI tools while managing JDM partnerships and ensuring operational excellence.
Top Skills:
AIEmbedded SystemsIotMcu-Based RtosMmwaveMpu-Based Embedded LinuxOptical PerceptionVoipWebrtcWireless Communication
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
As the Lead Product Designer for Discover, you'll design AI-driven experiences for a two-sided marketplace while mentoring the design team and owning the product design direction.
Top Skills:
Ai-Assisted Prototyping Tools (CursorClaude CodeFigmaLovable)V0
The Principal Epidemiologist will Leads high-complexity epidemiology, pharmacoepidemiology and RWE workstreams from question framing through protocol/SAP development, collaborating with analysts/programmers/vendors, and delivery of scientifically defensible, client-ready outputs. Serves as a scientific escalation point, maintains clear status/risk visibility, and mentors staff while applying good practice and regulatory expectations for observational evidence.
ResponsibilitiesResponsibilities:
- Lead development of key scientific deliverables, including study concepts, protocols, and SAPs, ensuring scientific rigor and operational feasibility.
- Respond to rapid epidemiological requests, including safety questions and information requests; frame uncertainty and limitations clearly for decision-makers.
- Evaluate and recommend fit-for-purpose real-world datasets (e.g., EHR and medical claims), including relevance, completeness, traceability, and key bias risks.
- When applicable, assess or support use of registries for evidence generation and advise on strengths/limitations for the research question.
- Apply good pharmacoepidemiology practice across planning, conduct, interpretation, and communication of results (including sensitivity analyses and bias minimization).
- Lead/oversee literature review deliverables (rapid or systematic as needed), including development/review of literature search strategies suitable for client release.
- Use recognized reporting/transparency standards for observational studies and routinely collected health data.
- Provide scientific oversight of execution with internal analysts/programmers and/or external vendors; ensure quality review and contribute to inspection/audit readiness.
- Communicate proactively with client and internal stakeholders (e.g., Safety/Regulatory/Clinicians), maintaining clear status updates, risks, and mitigation plans.
- Mentor and coach colleagues on study design, bias minimization, and scientific writing; act as a point of escalation for complex methodological issues.
- Contribute to capability building through reusable templates, best practices, and continuous improvement, consistent with Cytel-style senior scientific roles (attachments assumed as templates).
Qualifications / Skills:
- Education: PhD in Epidemiology (or related field) preferred; Master’s is acceptable with significant, directly relevant experience.
- Experience: At least 8 years in pharmacoepidemiology/RWE/observational epidemiology within pharma/biotech/CRO/consultancy/regulator or equivalent applied setting; demonstrated leadership of complex studies.
- Pharmacoepidemiology training preferred, with demonstrated application of good practice principles in planning, conduct, and interpretation.
- Proven authorship and/or final-signoff responsibility for protocols and SAPs (or equivalent analysis plans) for observational/RWE studies.
- Demonstrated experience with multiple real-world data types (at least two of: claims, EHR, registries, linked datasets), including endpoint definition and feasibility assessment.
- Strong working knowledge of pharmacovigilance-oriented evidence needs and safety assessment framing for observational data.
- Advanced scientific writing (protocols, SAPs, reports, manuscripts) and ability to communicate methods and results to senior scientific and non-technical stakeholders.
- Literature review expertise including (e.g, PubMed) proficiency; ability to construct reproducible searches and document search methods when needed.
- Strong stakeholder management, proactive risk communication, and ability to navigate challenging discussions constructively.
- Mentorship capability and track record of elevating team quality/efficiency through coaching and knowledge sharing.
Cytel Cambridge, Massachusetts, USA Office
Cambridge, MA, United States
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories



