Role Summary
Lead end‑to‑end execution of multiple federally funded research programs in the Cluster for Improving Healthcare Outcomes through Sensory Technology and the HumanX Lab for Cognitive Performance and Longevity. Own milestone delivery, day‑to‑day lab operations, equipment lifecycle, subaward and vendor coordination, and direct interface with funding‑agency program managers. Reports to the Cluster Head (Prof. Tam Vu) and serves as the operational and technical owner of the Cluster’s funded portfolio across hardware, firmware, signal processing, machine learning, biology, and clinical workstreams. Location: Hanover, NH (optional onsite presence at Boston site).
Key Responsibilities
- Program execution and milestone delivery across multiple federally funded research programs, including milestone planning, dependency mapping, and on‑time delivery of technical milestones.
- Day‑to‑day operations across the Cluster’s lab spaces: team cadence, weekly technical and operations reviews, reporting discipline, risk register, change‑control log, decision tracker, and oversight of lab equipment lifecycle.
- Subaward, industry partner, consultant, and vendor management: statement‑of‑work alignment, milestone payment events, deliverable acceptance, and risk escalation.
- Funding‑agency interface: program reviews, demo days, site visits, and reporting packages with federal program managers and contracts officers.
- Recruiting and onboarding support for postdocs, engineers, and research staff funded under these programs, and contribution to follow‑on grant and contract proposals.
- Demonstrate professionalism and collegiality through actions, interactions, and communications that create an environment welcoming to all.
- Perform other duties as assigned.
Required Qualifications
- Bachelor’s degree plus 7+ years of relevant experience or equivalent combination of education and experience.
- Bachelor’s or Master’s degree in Computer Science, Electrical or Computer Engineering, Biomedical Engineering, or a closely related field.
- Existing or prior role as Lab Manager, Program Manager, Technical Program Manager, Director of Engineering, or equivalent in a wearable, medical device, BCI, or biomedical research laboratory; experience managing federally funded research programs (e.g., DARPA, ARPA‑H, or comparable agencies).
- Demonstrated experience managing multiple federally funded research programs in parallel.
- Strong multi‑project program management discipline: milestone planning, dependency tracking, subaward and vendor management, structured risk and change management.
- Hands‑on technical fluency across at least two of: wearable sensing hardware, analog front‑ends, embedded firmware, biosignal processing, biological or organoid computing platforms, applied ML for biosignals, or integrated HW‑FW‑SW system delivery.
- Demonstrated experience building or managing a real system progressed beyond a lab demonstrator to clinical, field, or production deployment.
- Results‑oriented operating style with quantified outcomes.
- Excellent written and verbal communication; ability to brief program managers, partner PIs, and university leadership.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, Electrical or Computer Engineering, Biomedical Engineering, or a closely related field strongly preferred.
- PMP certification or equivalent formal program management credential.
- Experience with milestone‑payment contracts, OTAs, cooperative agreements, federal compliance requirements.
- Experience with regulatory pathways for digital health (FDA design controls, IRB, clinical trial coordination).
- Prior experience working with academic, industry, and clinical partners in parallel.
- Familiarity with biology lab operations relevant to cell‑based platforms.
Equal Opportunity Employer
Dartmouth College is an equal‑opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.
Background Check
Employment in this position is contingent upon consent to and successful completion of a pre‑employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non‑discriminatory manner consistent with state and federal law.
Contact
Professor Tam Vu
Cluster Head, HumanX Lab PI
Tam.N.Vu@dartmouth.edu