Data Scientist

Data Scientist Remote - United States Pay: $60-70/hour 6 month contract-to-hire engagement The Data Scientist role requires a highly skilled and experienced individual with a robust background in machine learning and generative AI, proficiency in Python, and experience with the Google Cloud Platform (GCP) software stack. This role will involve leading complex data science projects focused on healthcare applications, developing innovative AI solutions, and mentoring junior team members. Responsibilities: • Technically lead healthcare-focused data science projects from conceptualization to deployment. • Development and Implementation: advanced generative AI models (e.g., GANs, VAEs, transformers) to solve complex problems; machine learning; natural language processing; use Python to build, test, and deploy data science solutions • Utilize the GCP software stack (Vertex AI, BigQuery, AI Platform, Dataflow, etc.) to manage and analyze large healthcare datasets. • Collaborate with cross-functional teams, including clinical experts, to integrate data-driven insights into healthcare processes as well as mentor and provide guidance to junior data scientists • Present findings and recommendations to stakeholders, including healthcare professionals and senior leadership • Stay current with the latest advancements in data science, machine learning, generative AI, and healthcare analytics and ensure best practices in data science and AI are followed across the team. Experience/Education: • Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related field. • 4-6 years of experience in data science or a related field, with a focus on healthcare applications • Experience within a healthcare setting (hospital, ambulatory or ancillary services), preferred • Expertise in machine learning, deep learning, and generative AI. • Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Extensive experience with the Google Cloud Platform (Vertex AI, BigQuery, AI Platform, Dataflow, etc.). • Strong understanding of healthcare data sources, healthcare informatics, and clinical data standards. • Excellent problem-solving skills and the ability to work on complex, multidisciplinary projects. • Strong communication and leadership skills. • Proven track record of leading successful data science projects in the healthcare industry. • Ability to collaborate effectively with cross-functional teams, including clinicians and healthcare professionals. • Experience with electronic health records (EHR) data and healthcare interoperability standards (e.g., HL7, FHIR). • Experience with containerization tools and technologies, particularly Docker. • Experience with cloud platforms (GCP, AWS, Azure). • Familiarity with other programming languages (e.g., R, SQL). Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws. Benefits & Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.