Data Scientist

Data Scientist (Level depending on experience)

Remote (US)

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

• Design and evaluate algorithms that transform raw sensor signals into clinically meaningful outcomes through signal processing, feature engineering, and statistical

• Design and execute analytical validation and clinical validation

• Evaluate reliability, validity, responsiveness, and clinical meaningfulness of digital

• 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

• Handle challenging real-world data including missing data, motion artifact, signal quality issues, and edge cases.

• Develop robust Python code supporting analytical

• Build reusable analysis

• Translate raw sensor streams into structured, SDTM-like datasets suitable for downstream statistical analysis.

• Write maintainable, well-tested code supporting clinical trial

• Collaborate with biostatisticians, software engineers, clinical scientists, and product

• 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

• Coursework or research involving signal processing, machine learning, statistics, or physiological data.

• Curiosity and desire to

Senior Candidates

• Several years of experience developing algorithms or digital measures for healthcare or clinical research.

• Experience leading technical projects from concept through

• Experience mentoring junior

• Ability to independently design analytical approaches for novel scientific

• Experience interacting with external collaborators or

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

• Moves comfortably between science and

• Thinks critically rather than simply applying existing

• Writes clean, maintainable

• Communicates complex technical ideas

• Takes ownership while collaborating across

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.

Additional benefits and perks

• Unlimited PTO

• Board approved stock options

• Board approved annual bonus

• Direct access to senior leadership

• Healthcare

• Vision/Dental

• Life Insurance

• Professional growth training

• 401K with Safe Harbor employer contribution

• Remote work

• Flexible working hours

Salary Range: 100-150K (DOE and Location)

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.

This role is open only to candidates residing in the following states: AZ, CA, CO, FL, GA, MA, MD, NC, NH, NJ, NV, OH, OR, PA, TN, TX. If you do not reside in one of these states, you will not be eligible for consideration at this time. If you are not able to work in the United States without sponsorship or extensions, we will not be able to accept your candidacy for this role.