| Location | Boston, MA |
About VivoSense
VivoSense is a science-first digital health company building the future of patient-centered evidence through advanced biosensor analytics. We partner with pharmaceutical companies, biotechnology organizations, and academic researchers to transform high-resolution sensor signals into validated digital measures that improve clinical trials and accelerate the development of new therapies.
Our work spans the full scientific lifecycle – from signal acquisition and algorithm development to clinical validation, regulatory evidence generation, and delivery of analysis-ready datasets for global clinical trials.
About the Role
We're looking for curious, versatile data scientists who enjoy solving difficult scientific problems.
This is intentionally an open-level position. Whether you're an early-career scientist eager to learn or an experienced technical leader, we're interested in people who enjoy wearing multiple hats and working across disciplines.
One day you may be validating a novel digital endpoint using clinical trial data. The next you might be developing a machine learning algorithm for ECG signals, developing production-quality Python code for a wearable sensor pipeline or troubleshooting unexpected edge cases in real-world sensor data.
Success in this role requires someone who enjoys ambiguity, continuously learning new technologies, and moving comfortably between science, statistics, software, and clinical research.
What You'll Do
• Develop novel digital measures from high-resolution sensor data.
• Design and evaluate algorithms that transform raw sensor signals into clinically meaningful outcomes through signal processing, feature engineering, and statistical analysis.
• Design and execute analytical validation and clinical validation studies.
• Evaluate reliability, validity, responsiveness, and clinical meaningfulness of digital measures.
• Work with multimodal physiological signals including accelerometry, PPG, respiratory bands, ECG, gyroscope, temperature, and other wearable sensors.
• Develop filtering, segmentation, feature extraction, and quality assessment methods.
• Handle challenging real-world data including missing data, motion artifact, signal quality issues, and edge cases.
• Develop robust Python code supporting analytical workflows.
• Build reusable analysis pipelines.
• Translate raw sensor streams into structured, SDTM-like datasets suitable for downstream statistical analysis.
• Write maintainable, well-tested code supporting clinical trial delivery.
• Collaborate with biostatisticians, software engineers, clinical scientists, and product teams.
• Support scientific publications, conference presentations, regulatory interactions, and client deliverables.
Who You Are
We're open to a wide range of experience levels.
Early Career Candidates
• MSc or PhD in Biomedical Engineering, Data Science, Biostatistics, Computer Science, Applied Mathematics, Physics, or related quantitative field.
• Strong programming skills.
• Coursework or research involving signal processing, machine learning, statistics, or physiological data.
• Curiosity and desire to learn.
Senior Candidates
• Several years of experience developing algorithms or digital measures for healthcare or clinical research.
• Experience leading technical projects from concept through implementation.
• Experience mentoring junior scientists.
• Ability to independently design analytical approaches for novel scientific questions.
• Experience interacting with external collaborators or clients.
Preferred Experience
• Python
• Time-series analysis
• Signal processing
• Statistical modeling
• Clinical trials
• Wearable sensor data
• Digital biomarkers
• Machine learning
• Physiological and kinematic signal analysis
• Git/version control
• Data visualization
What Makes Someone Successful Here
• Enjoys solving complex, ambiguous problems.
• Moves comfortably between science and software.
• Thinks critically rather than simply applying existing methods.
• Writes clean, maintainable code.
• Communicates complex technical ideas clearly.
• Takes ownership while collaborating across disciplines.
Career Growth
This position is intentionally open-level. Candidates will be hired at the level (Data Scientist through Senior Data Scientist) that best reflects their experience, technical expertise, and ability to independently contribute.
As you grow, you'll have opportunities to lead scientific programs, develop novel digital measures, mentor other scientists, contribute to regulatory strategy, and help shape the future of digital endpoints.
VivoSense is an Equal Opportunity Employer and E-Verify participant.
Please note: Our hiring process includes, but is not limited to, a final round in-person interview, background check, employment verification, and professional reference checks.
Preference is given to candidates residing in the following states: AZ, CA, CO, FL, GA, MA, MD, NC, NH, NJ, NV, OH, OR, PA, TN, TX.