Netrolynx AI

Data Scientist

Netrolynx AI
5+ years
United States
Full-time
Remote
2 months ago

About the role

About The Company
Harnham is a leading specialized recruitment agency dedicated to connecting top-tier talent with organizations in the data, analytics, and technology sectors. With a strong reputation for excellence, Harnham partners with innovative companies across various industries, including healthcare, finance, retail, and technology, to facilitate growth and success. The company prides itself on its deep industry knowledge, personalized approach, and commitment to fostering long-term relationships with both clients and candidates. Harnham’s global presence and extensive network enable it to source and place highly qualified professionals in roles that drive strategic initiatives and operational excellence.
About The Role
The Clinical Data Scientist role at Harnham offers an exciting opportunity for professionals passionate about transforming clinical data into actionable insights. This hybrid or remote position involves working within a dynamic healthcare and life sciences technology organization that is committed to advancing clinical research and regulatory compliance. As a key contributor to the clinical data pipeline, you will be responsible for converting complex, raw clinical datasets into standardized, analysis-ready formats that support clinical trials, research, and regulatory submissions. You will collaborate closely with multidisciplinary teams, including Clinical Operations, Data Platform Engineering, and AI/ML specialists, to ensure data integrity, traceability, and adherence to industry standards. This role offers a chance to work on impactful projects that influence healthcare outcomes and scientific advancement, with flexibility in work location, preferably in the SF Bay Area.
Qualifications
To succeed in this role, candidates should possess a solid educational background with a BSc or MSc in Statistics, Mathematics, Computer Science, Life Sciences, or a related field. A minimum of 2-5 years of experience in clinical data science, statistical programming, or clinical data management within pharmaceutical, biotech, or healthcare environments is required. Technical proficiency in SAS, R, Python, and SQL is essential, along with familiarity with version control systems such as Git. Experience working with CDISC SDTM and ADaM standards is highly preferred. Knowledge of oncology endpoints, including RECIST and survival analysis, as well as real-world data (RWD), will be advantageous. Core competencies include meticulous attention to detail, strong analytical skills, and the ability to work effectively with unstructured data, including NLP-derived outputs. Excellent communication skills and a collaborative mindset are vital for success in this role.
Responsibilities
As a Clinical Data Scientist, your primary responsibilities will encompass data transformation and delivery, statistical programming, and quality control. You will convert raw clinical data—whether manually abstracted, AI-processed, or from electronic medical records—into standardized formats such as CDISC SDTM or client-specific models. Building analysis-ready datasets from diverse sources like EDC systems and internal tools will be a key task. You will develop and generate Tables, Listings, and Figures (TLFs) for clinical study reports and interim analyses using SAS, R, or Python, ensuring accuracy and compliance.
Maintaining data integrity through comprehensive cleaning, validation, and discrepancy investigations is crucial. You will work closely with engineering teams to automate data workflows, streamline validation processes, and serve as an internal customer for new data infrastructure tools. Documenting data specifications, derivation logic, and review guides—such as Define.xml—is essential to support audits and regulatory submissions. Additionally, you will provide ad hoc and exploratory analyses, supporting internal and external stakeholders with data queries and insights that demonstrate the platform’s value.
Ethical and compliant data management is a fundamental aspect of this role. You will adhere to privacy, security, and regulatory standards, including HIPAA, and promote ethical handling of sensitive clinical data. This comprehensive approach ensures that data is managed responsibly, securely, and in accordance with industry best practices.
Benefits
Harnham offers a competitive salary package commensurate with experience, qualifications, and location. Employees are eligible for equity options, annual performance bonuses, and a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and professional development opportunities. The organization fosters a collaborative and innovative work environment, supporting work-life balance through flexible working arrangements. Additionally, employees have access to ongoing training, mentorship, and career advancement programs, enabling them to grow their skills and expertise within a supportive corporate culture.
Equal Opportunity
Harnham is committed to creating an inclusive environment where all employees and applicants are treated with fairness and respect. The company provides equal employment opportunities regardless of race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. Harnham believes in fostering diversity and inclusion as essential components of its success and encourages candidates from all backgrounds to apply.

Skills

Analyst
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