This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Data Scientist you will: - Lead large-scale projects from ideation through enterprise impact. - Apply a broad problem-solving toolkit to develop both creative and practical solutions. - Evaluate trade-offs between out-of-the-box and customized solutions, optimizing for speed and effectiveness. - Implement scalable, bug-free, and well-tested solutions that reduce complexity rather than add to it. - Understand business challenges and deliver results that meaningfully solve key problems. - Proactively engage with stakeholders across all levels to align data science efforts with business needs. - Identify and mitigate risks early, preventing roadblocks that could arise later. - Serve as a trusted advisor and thought partner, ensuring projects are delivered on time and aligned with business objectives. - Mentor and collaborate with peers, improving team-wide problem-solving capabilities and technical execution. Success in this role looks like: - First 90 Days: By your ability to forecast project impact and leading data driven product performance assessment. - Beyond 90 Days: Proactive identification and implementation of strategic improvements with data driven strategies and leading toward improved team outcomes. Qualifications - Advanced degree in a quantitative field (Master’s + 3-4 years of experience or Ph.D. + 2+ years of experience). - Strong foundation in probability, statistics, and machine learning tools, including SQL, Python, and relevant ML/statistical packages. - Experience using data science to drive enterprise value in a business function. - Comfortable leading projects with experience taking large-scale initiatives from concept to measurable business impact. - Ability to improve the work of those around you through mentorship, code review, and leadership by example. - Clear communication of how your work contributes to business goals, ensuring alignment with top-level company objectives. Benefits - Competitive base salary and equity opportunities. - Performance-based bonus program and regular compensation reviews. - Comprehensive group medical coverage including hospitalization, outpatient care, optical services, and dental benefits. - No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. - Remote-first culture that supports collaboration and flexibility. - Learning programs, mentorship, professional development funding, and regular performance feedback and reviews. - Reimbursement for office setup expenses. - Monthly cell phone & internet stipend. - Flexibility to work from home, enabling collaboration with global teams. - Paid parental leave for all new parents. - And much more!

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Director of Clinical Practice & Performance to build and enforce MEDvidi’s clinical operating system. Reporting directly to the Chief Medical Officer, this role translates clinical strategy into standardized SOPs, documentation architecture, quality systems, and provider performance oversight. This is an executive-level builder role — not a traditional clinical manager position. You will design the infrastructure that ensures safe, defensible, and consistent care delivery across psychiatric nurse practitioners and physicians. The role includes 10–20% clinical practice to remain embedded in workflows and model documentation excellence. You will operate under delegated authority from the CMO to monitor adherence to standards, address prescribing variance, and initiate remediation when necessary. What You’ll Do - Build Scalable Clinical Infrastructure - Develop and operationalize condition-specific SOPs (ADHD, anxiety, depression, PTSD, medical weight loss) - Establish structured prescribing frameworks, titration pathways, and monitoring standards - Define inclusion/exclusion criteria and clinical guardrails - Reduce variability across providers and service lines - Own Quality & Provider Performance - Design and lead structured chart audit programs and peer review systems - Monitor prescribing patterns and documentation quality - Define measurable clinical KPIs and maintain performance dashboards - Lead remediation processes and performance improvement plans when needed - Escalate complex or high-risk cases to the CMO - Strengthen Documentation & Compliance Systems - Standardize EMR templates and intake/follow-up workflows - Embed structured documentation fields to improve defensibility and audit readiness - Operationalize stimulant safeguards and GLP-1 safety monitoring protocols - Establish adverse event review and escalation pathways - Partner Cross-Functionally - Collaborate with Product & Engineering to translate SOPs into scalable workflows - Review AI-assisted documentation tools and establish guardrails - Validate clinical accuracy of patient-facing and marketing materials - Ensure operational alignment between growth initiatives and clinical safety - Clinical Practice (10–20%) - Maintain a limited patient panel within core service lines - Model SOP adherence and documentation standards - Identify workflow friction and system improvement opportunities This role operates under delegated authority from the Chief Medical Officer to enforce clinical standards across nurse practitioners and physicians. Regulatory compliance oversight and licensure logistics remain under MedOps. Final escalation authority resides with the CMO. Qualifications - Board-Certified Psychiatric Nurse Practitioner (PMHNP-BC) - 5+ years psychiatric clinical experience - Strong experience with stimulant prescribing and/or medical weight loss management - Experience in telehealth or multi-state practice preferred - Experience building SOPs, quality systems, or provider performance programs - Comfortable enforcing standards and leading remediation conversations Requirements - Systems-oriented and process-driven - Data-fluent and metrics-focused - Confident influencing physicians and senior clinicians - High integrity and sound clinical judgment - Comfortable operating in a scaling, high-accountability environment - Executive mindset beyond purely clinical practice Benefits - Opportunity to build national clinical infrastructure at scale - Direct partnership with the Chief Medical Officer - Meaningful authority and impact on patient safety and quality - Remote flexibility - Competitive compensation and equity aligned with impact Compensation Competitive base salary ($185,000–$215,000), performance incentives, equity participation, and comprehensive benefits. Final compensation will reflect experience and licensure footprint. How to Apply Please apply adding a brief note outlining your experience building scalable clinical systems in telehealth or regulated healthcare environments.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Clinical Data Scientist to lead the analysis of novel datasets from clinical studies of Precision’s Layer 7 device. - Analyze neural datasets and study statistics from ongoing clinical testing. - Generate analyses and visualizations of clinical neural and behavioral datasets. - Evaluate clinical and engineering metrics across large-volume clinical datasets. - Maintain data tracking tools and ensure organized, consistent clinical data aggregation. - Support clinical experiment planning and hands-on data collection in the intraoperative and ICU settings. - Consolidate and communicate data insights with cross-functional teams to inform clinical experiment design, product improvements, and business decision making. - Organize and present results to external collaborators and contribute to scientific publications. - Contribute to statistical analysis plans for regulated clinical studies. Qualifications - BS or higher in neuroscience, computer science, statistics, engineering or related fields. - 3+ years of experience in academic or industry computational research settings. - Experience analyzing time series and/or electrophysiology data. - Proficiency in Python, Matlab, or R. - Excellent verbal and written scientific communication skills. - Track record of bringing data analysis projects to completion in a timely fashion with concrete, interpretable results. - Preference for experience working in BCI or neuroscience related fields. - Preference for experience designing statistical analysis plans for regulated clinical trials. Requirements This position will be based in our New York City office. We can consider remote workers, but cannot consider individuals who are not currently based in the US and are not legally authorized to work in the US. Benefits Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone. As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. We prioritize candidate security. Please be aware that job offers will only come from emails ending with @precisionneuro.io. For roles based in Massachusetts: it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About the role: We are seeking a Senior Data Scientist with deep expertise in financial fraud detection and claim abuse. This role will lead the design and implementation of advanced analytics and machine learning solutions to combat evolving fraud and dispute schemes. The ideal candidate will have a proven track record of delivering high-impact models, mentoring junior team members, and influencing strategic decisions across the organization. Responsibilities include: Strategic Leadership • Drive the roadmap for internal AI & ML initiatives, aligning with business objectives and regulatory requirements. • Serve as a subject matter expert on fraud analytics, advising leadership on emerging threats and mitigation strategies. Advanced Modeling • Architect and deploy cutting-edge machine learning and AI models to maximize fraud recovery, behavioral analysis, and predictive fraud prevention. • Optimize models for scalability, real-time performance, and minimal false positives. Data Innovation • Identify new data sources and develop advanced feature engineering techniques to enhance fraud detection capabilities. • Lead research into novel algorithms, including graph analytics and deep learning approaches. Collaboration & Influence • Partner with Legal, Leadership, and Engineering teams to integrate solutions into enterprise systems. • Communicate complex technical concepts to non-technical stakeholders and influence decision-making. Mentorship • Guide and mentor junior data scientists, fostering a culture of innovation and continuous learning. Governance & Compliance • Ensure models adhere to regulatory standards (OCC, PCI DSS) and ethical AI practices. Required Qualifications: - 7+ years of experience in data science, with at least 3 years focused on fraud detection or financial risk analytics. - Expertise in machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and advanced statistical modeling. - Strong proficiency in Python, SQL, and Snowflake - Deep understanding of financial systems, payment networks, and fraud typologies. - Experience deploying models in production environments and working with real-time streaming platforms. Preferred Qualifications: - Familiarity with graph databases and network analysis for fraud rings. - Knowledge of cloud platforms (AWS) and MLOps best practices. - Exceptional communication and leadership skills.