Clinical Data Scientist

Akkodis; Novato (CA); On-site; USD 103,320 - 110,208; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K plan

Paid Sick Leave

Job summary

A healthcare staffing company is seeking a Clinical Data Scientist in Novato, CA. The role requires advanced SAS skills and experience with clinical data. Responsibilities include implementing key risk indicators and integrating data from EDC systems. Ideal candidates will have a strong background in clinical trials and proficiency in Microsoft Office. Competitive hourly rate of $75-$80 with benefits including medical, dental, and 401K plan.

Qualifications

• Advanced SAS programming skills in a clinical trials environment.
• Hands‑on experience working with clinical trial data.
• Proficiency with Microsoft Office applications.

Responsibilities

• Implement and maintain pre-defined KRIs, QTLs, and triggers using SAS.
• Extract and integrate data from EDC systems into analysis-ready datasets.
• Run routine and ad-hoc monitoring outputs for signal detection.
• Perform QC and troubleshooting of SAS code.
• Maintain clear technical documentation for all RBQM programs.
• Collaborate with various teams to ensure correct implementation.

Skills

Advanced SAS programming skills

Hands-on experience with clinical trial data

Proficiency with Microsoft Word, Excel, and PowerPoint

Education

PhD in related field

MS in related field

BA/BS in related field

Tools

SAS

RAVE EDC

Job description

Direct message the job poster from Akkodis

Akkodis is seeking Clinical Data Scientist in Novato CA 94949. Ideally, looking for someone who has experience with designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas.

Rate Range

$75/hour - $80/hour on W2; The rate may be negotiable based on experience, education, geographic location, and other factors.

Responsibilities

• Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
• Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.

Required Skills & Experience

• Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
• Hands‑on experience working with clinical trial data.
• Proficiency with Microsoft Word, Excel, and PowerPoint.

Technical – Preferred / Strong Plus

• Experience with RAVE EDC.
• Awareness or working knowledge of CDISC, CDASH, SDTM standards.
• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
• PhD: 3+ years
• MS: 5+ years
• BA/BS: 8+ years

Benefits

Benefit offerings available for our associates include medical, dental, vision, life insurance, short‑term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Disclaimer: These benefit offerings do not apply to client‑recruited jobs and jobs that are direct hires to a client.

Equal Opportunity Employer

Equal Opportunity Employer/Veterans/Disabled

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
· The California Fair Chance Act
· Los Angeles City Fair Chance Ordinance
· Los Angeles County Fair Chance Ordinance for Employers
· San Francisco Fair Chance Ordinance

Contact

If you have questions about the position, please contact Mohammed Irfan Murtuza at [e-mail]

Candidate Privacy Statement

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.