Principal Data Scientist
Spectraforce
US
Remote
2 days ago
Job Description
Job title: Principal Data Scientist
Location: Remote
Duration: 12 months
Client’s mission is to chase the miracles of science to improve people’s lives. We're expanding in multiple directions, across borders and, most of all, in the way we think. The client is building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success.
Client’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in health care and incubates data-driven digital and non-digital solutions which aim to improve a person’s health outcomes, the lives and ability for families to support and care for their loved ones, clinicians’ experience, and to reduce health care costs. We are actively incubating multiple concepts to improve the lives of individuals and their loved ones globally, especially underserved populations, and we are seeking the best and the brightest to join this journey and change healthcare for all.
We are seeking an experienced and visionary Principal Data Scientist to lead our efforts in developing advanced predictive models and AI solutions for healthcare. The ideal candidate will possess a deep understanding of machine learning methodologies, a proven track record of delivering impactful data-driven solutions in a real-world setting, and the ability to drive innovation across diverse therapeutic areas.
Main responsibilities:
o Lead the design, development, and deployment of cutting-edge predictive models using various machine learning and AI techniques, including tree-based models (e.g., XGBoost) and transformer-based architectures (e.g., BERT), for early disease detection and proactive interventions.
o Drive the strategic direction of data science initiatives across multiple therapy areas, identifying opportunities to leverage real-world data (e.g., open claims data, EHR) for improved patient outcomes and drug development, including the use of federated analytics and federatML.
o Provide technical leadership and mentorship to a team of data scientists, fostering a culture of innovation, rigorous experimentation, and best practices in MLOps.
o Evaluate and select appropriate modeling techniques and performance metrics (e.g., Precision, Recall, Bayes factor, NNT) based on specific problem statements and business objectives.
o Collaborate closely with cross-functional teams including business owners, payers, clinicians, epidemiologists, statisticians, and IT to translate complex business problems into tractable data science solutions for deployment in real world.
o Stay abreast of the latest advancements in machine learning, deep learning, and AI, and proactively integrate novel approaches into our predictive modeling capabilities.
o Communicate complex analytical findings and their implications clearly and concisely to both technical and non-technical audiences.
About you
• PhD or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Biomedical Informatics, Engineering, Physics).
• 8+ years of progressive experience in data science, with a significant portion focused on predictive modeling and advanced analytics in healthcare or life sciences.
• Demonstrated expertise in machine learning algorithms and deep learning architectures, including strong practical experience with transformer models (e.g., BERT).
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience working with large-scale, real-world healthcare datasets such as claims data, electronic health records (EHR), or clinical trial data.
• Strong understanding of statistical concepts and experimental design.
• Proven ability to lead complex data science projects from conception to deployment, with a focus on delivering measurable business impact.
• Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively across all levels of the organization.
About Us: SPECTRAFORCE is one of the fastest-growing workforce solutions firms in the United States. As a diversity-owned business, we place human connection at the heart of everything we do, building strong relationships with both clients and candidates to fill roles successfully. Our teams in North and Central America and India serve more than 150 Fortune clients globally, leveraging custom AI technology to provide direct hire, executive search, nearshoring, offshoring, and project staffing solutions.
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.
California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act (“CPRA”) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting NAHR@spectraforce.com.
LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE, your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $70.00/hr.
Location: Remote
Duration: 12 months
Client’s mission is to chase the miracles of science to improve people’s lives. We're expanding in multiple directions, across borders and, most of all, in the way we think. The client is building a team of brilliant individuals to drive the success of a new healthcare business to transform healthcare for all. People are the most critical ingredient to our success.
Client’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in health care and incubates data-driven digital and non-digital solutions which aim to improve a person’s health outcomes, the lives and ability for families to support and care for their loved ones, clinicians’ experience, and to reduce health care costs. We are actively incubating multiple concepts to improve the lives of individuals and their loved ones globally, especially underserved populations, and we are seeking the best and the brightest to join this journey and change healthcare for all.
We are seeking an experienced and visionary Principal Data Scientist to lead our efforts in developing advanced predictive models and AI solutions for healthcare. The ideal candidate will possess a deep understanding of machine learning methodologies, a proven track record of delivering impactful data-driven solutions in a real-world setting, and the ability to drive innovation across diverse therapeutic areas.
Main responsibilities:
o Lead the design, development, and deployment of cutting-edge predictive models using various machine learning and AI techniques, including tree-based models (e.g., XGBoost) and transformer-based architectures (e.g., BERT), for early disease detection and proactive interventions.
o Drive the strategic direction of data science initiatives across multiple therapy areas, identifying opportunities to leverage real-world data (e.g., open claims data, EHR) for improved patient outcomes and drug development, including the use of federated analytics and federatML.
o Provide technical leadership and mentorship to a team of data scientists, fostering a culture of innovation, rigorous experimentation, and best practices in MLOps.
o Evaluate and select appropriate modeling techniques and performance metrics (e.g., Precision, Recall, Bayes factor, NNT) based on specific problem statements and business objectives.
o Collaborate closely with cross-functional teams including business owners, payers, clinicians, epidemiologists, statisticians, and IT to translate complex business problems into tractable data science solutions for deployment in real world.
o Stay abreast of the latest advancements in machine learning, deep learning, and AI, and proactively integrate novel approaches into our predictive modeling capabilities.
o Communicate complex analytical findings and their implications clearly and concisely to both technical and non-technical audiences.
About you
• PhD or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Biomedical Informatics, Engineering, Physics).
• 8+ years of progressive experience in data science, with a significant portion focused on predictive modeling and advanced analytics in healthcare or life sciences.
• Demonstrated expertise in machine learning algorithms and deep learning architectures, including strong practical experience with transformer models (e.g., BERT).
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience working with large-scale, real-world healthcare datasets such as claims data, electronic health records (EHR), or clinical trial data.
• Strong understanding of statistical concepts and experimental design.
• Proven ability to lead complex data science projects from conception to deployment, with a focus on delivering measurable business impact.
• Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively across all levels of the organization.
About Us: SPECTRAFORCE is one of the fastest-growing workforce solutions firms in the United States. As a diversity-owned business, we place human connection at the heart of everything we do, building strong relationships with both clients and candidates to fill roles successfully. Our teams in North and Central America and India serve more than 150 Fortune clients globally, leveraging custom AI technology to provide direct hire, executive search, nearshoring, offshoring, and project staffing solutions.
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.
California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act (“CPRA”) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting NAHR@spectraforce.com.
LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE, your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $70.00/hr.