NEW JOB OPENING
SENIOR DATA SCIENTIST
IN Remote, USA!

**Must be able to work Pacific Time Zone hours, regardless of physical location**



Required Education:

* Bachelor’s degree in computer science, artificial intelligence, informatics, or a closely related field

* Master’s degree preferred



Technical Expertise:

• Familiarity and experience with techniques for handling outliers, such as the z-score or IQR methods.

• Experience with multiple machine learning models, beyond tree-based methods, and familiarity with handling imbalanced data problems using appropriate techniques.

• Strong grasp of model evaluation metrics, including a correct understanding of the F1 score.

• Experience with PDF to text conversion, NLP entity extraction, ML modeling.

• Configure large language models (LLM) including RAG implementation and fine tuning LLMs to meet business requirements.

• Data mining and statistical modeling (e.g. regression modeling, clustering techniques, decision trees, etc.).

• Analyzing large data dets using programming languages (e.g. Python, R, SQL and/or Spark).

• Strong SQL skills. Must have the ability to write complex, highly-optimized queries across large volumes of data. Generating and visualizing data-based insights in software such as Tableau.

• Effective at communicating data-driven insights and conveying actionable recommendations to clinical and business leaders with little to no data science experience.

• Lead and mentor junior data scientists to extract, analyze, and interpret large datasets, particularly focusing on clinical healthcare operational, and environmental data.

• Proficiency in developing and implementing artificial intelligence (AI) and machine learning (ML) algorithms.

• Experience in building highly scalable AI systems with multiple dependencies across teams.

• Ability to utilize state-of-the-art AI algorithms and apply off-the-shelf AI and data-centric tools.

• Expertise in managing and analyzing large datasets, including data cleaning, transformation, and integration.



Required Data Science Skills:

* Strong skills in statistical analysis and deriving insights from patient and environmental data

* Capability to correlate similar data, find actionable results, and search large datasets for usable information

* Experience in creating experimental frameworks for data collection and automation of data processes



Required Collaboration and Communication:

* Proven ability to work closely with research teams to design analysis specifications, including algorithms and interpretation of results

* Experience in collaborating with programmers and informatics experts to address client needs

* Ability to create clear, concise reports and presentations to communicate analysis results effectively



Required Healthcare Focus:

* Familiarity with healthcare data, including clinical and research outcomes

* Ability to identify creative uses of AI innovations in healthcare research



Additional Requirements:

* Demonstrated ability to stay current on trends in informatics, AI, and ML within the healthcare sector

* Demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams



Data Scientist Responsibilities:

* Derive insights from the vast amounts of patient and environmental data available within our data warehouse. To achieve this goal, novel and creative machine learning and statistical analyses are needed.

* Work closely with Client researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.

* Develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses.

* Analysis will address a wide variety of clinical and research outcomes.

* Research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data.



Medical Enterprise - Non-Clinical Onboarding - Must complete all onboarding requirements prior to the start date, with no exceptions.

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**