Current Opening(s)

Here at nQ Medical, we look for exceptional people and give them the environment, autonomy and support needed to drive a revolutionary transition in healthcare. As a result, we have developed patented technologies, proven by four years of clinical trials at MIT, to deliver evidence-based diagnostic and disease management for a wide range of brain health disorders.

nQ Medical is currently seeking a qualified Data Scientist - Statistician / Biostatistician to support our clinical studies, biomarker research, product and process development, and regulatory projects. The successful candidate will be expected to work collaboratively with various internal and external groups/clients to provide broad statistical support and to manage multiple projects to ensure timelines are met. This position also offers opportunities for acquiring new skills, engaging with our clinical research team to support their interaction with regulatory agencies, publishing research findings, mentoring young data scientists and professional growth.

• Collaborate with nQ’s data science and clinical teams to design experiments, develop and review study protocol, statistical analysis plan, and data collection tools, determine appropriate sample sizes, identify potential confounders and clinical endpoints.
• Select appropriate statistical approaches and conduct statistical analyses to meet client and/or regulatory requirements.
• Execute statistical analysis on prototyped algorithms to assess performance and approach validity of newly developed biomarker models.
• Collaborate with biomarker discovery team in the development of optimization strategies to meet predefined performance thresholds.
• Develop and/or review tables, listings, figures (TLF) and study reports.
• Communicate analysis results via written reports, oral presentations, and meetings with key stakeholders. Participate in abstract, poster, or journal article writing.
• Work cooperatively with nQ teams and regulatory submission specialists to address regulatory and project-related statistical issues.

• Background in clinical data/neurology and/or experience working with clinical trial data is a plus.
• Previous experience in biometric analysis, operational understanding of real-world data and rea-world evidence in observational research.
• Familiarity with biomarker discovery and validation pathway (clinical utility). Experience with regulatory guidance and terminology in biomarker development (e.g. BEST, Biomarker Qualification Program, Medical Product Development Tools).
• Experience working in multidisciplinary biotech research and/or industry teams.

• Ph.D. in bioinformatics, engineering, statistics, biostatistics, biomedical engineering, or similar with 3+ years of industry experience or strong academic record.
• Demonstrated ability of contributing to multi-disciplinary team projects.
• Expertise with programming languages for complex data analysis and reproducible research practices (preferably Python and R).
• Strong statistics background and familiarity with statistical validation concepts and tools.
• Deep understanding of signal processing and pattern analysis techniques (time series analysis, probabilistic analysis, machine learning, etc.)
• Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically relevant questions.
• Scientific curiosity with an ability to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively.
• Excellent problem-solving and collaboration skills.
• Strong communication, data presentation, and visualization skills.