Senior Data Scientist

🕒 2 days ago

🇺🇸 United States – Remote

💵 $140k - $170k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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DrFirst, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 Private Equity Round on 2024-01

Healthcare • SaaS • B2B

DrFirst is a healthcare technology company that provides medication management solutions focusing on electronic prescribing, electronic prior authorization (ePA), medication history, prescription engagement, population health management, prescription renewals, price transparency, prescription orchestration, specialty medications support, and business continuity for EHRs. Their products include E-Prescribing, EPCS (electronic prescribing for controlled substances), Backline secure messaging, and tools for streamlining prior authorizations and medication access. DrFirst serves hospitals & health systems, EHR & HIT vendors, private practices, pharmaceutical companies, and payers. The company emphasizes integration with clinical workflows, patient engagement to improve adherence, and leveraging a large medication management network in the U. S. ; they also provide system migration services and AI-assisted data transitions.

📋 Description

• Own AI, ML, and NLP initiatives end to end, from problem framing through model development, validation, deployment, monitoring, and long-term production maintenance • Apply LLMs to automate complex, high-volume workflows • Partner with software architects and engineering to deliver solutions meeting strict latency and throughput requirements across millions of transactions • Balance accuracy, response time, and inference cost through model selection, caching, and prompt design • Build evaluation datasets and automated evaluation pipelines for LLM and ML systems • Measure quality and error rates on clinical and financial content and detect regressions when prompts, models, or data change • Build and own production-grade data pipelines and feature datasets sourced from PostgreSQL transactional systems and the Redshift warehouse • Partner with clinicians, pharmacists, and domain experts to define ground truth, adjudicate edge cases, and validate model behavior against clinical workflows • Ensure solutions are accurate, robust, and compliant with HIPAA, including appropriate PHI handling and monitoring for bias, safety, and performance drift • Act as technical lead on projects by setting direction, defining approaches, establishing best practices, and influencing technical strategy • Coach and mentor data scientists through pairing, design and code reviews, and constructive feedback • Contribute to hiring by interviewing and helping raise the team’s technical bar • Communicate complex analytical findings to technical and non-technical audiences, including executive management, through presentations, reports, and visualizations • Work with a data science and data analysis group reporting directly to the President of the Provider Solutions division • Perform primarily desk work, with remote travel to client sites, conferences, or internal team meetings

🎯 Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field • 5+ years of professional experience in data science, machine learning, and NLP, with a track record of delivering models into production • Advanced proficiency in Python and SQL • Hands-on experience building ELT and ETL workflows with tools such as dbt, Airflow, and AWS data services (Glue, DMS, Lambda, S3) • Knowledge of incremental loads, idempotency, data quality testing, documentation, and lineage • Strong software engineering fundamentals, including tested, modular, production-quality Python, Git-based workflows and code review, Docker, and CI/CD • Experience productionizing and monitoring models on AWS, including model registry, CI/CD for ML, versioning, and post-deployment monitoring, with tools such as SageMaker and MLflow • Experience building and evaluating LLM-powered applications, including prompt design, retrieval and RAG pipelines, and systematic evaluation of output quality • Proven ability to scope ambiguous problems and deliver solutions end to end with minimal supervision • Demonstrated ability to lead projects and coach or mentor other data scientists • Excellent problem-solving and communication skills, and ability to thrive in a fast-paced environment • Preferred: Experience in healthcare or insurance • Preferred: Healthcare data literacy across FHIR, HL7v2, X12, RxNorm, NDC, ICD-10, and SNOMED • Preferred: Experience designing and maintaining production data pipelines, modeling data for Amazon Redshift or comparable columnar MPP platforms, extracting from PostgreSQL, and writing performant SQL against large tables • Preferred: Experience deploying models to SageMaker endpoints, ECS, or Lambda • Familiarity with Kubernetes is a plus

🏖️ Benefits

• Eligible for a Discretionary Performance-based bonus • Medical, dental, and vision insurance • 401K eligible after 3 months of employment, with 50% company match up to first 5% of salary contributed to the plan with a 3-year vesting schedule • HSA for eligible employees enrolled in the HDHP, with a generous company contribution up to $500 for individual coverage and $1000 for family coverage per year • 100% company paid short and long-term disability, AD&D, and group life insurance • Accrued annual paid time off (PTO) of 18 days for the first 3 years of service, increasing thereafter • 7 paid holiday days • Employee Assistance Program • Continuing Education funds up to $1500 annually for eligible programs after 1 year of service • Voluntary benefits including FSA, Hospital indemnity, Accident and Critical Illness insurances • Remote-First company with a dynamic and flexible workplace • Professional development opportunities

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