Syneos Health is hiring experienced life sciences and clinical research professionals for two remote jobs in India. The latest Syneos Health careers 2026 opportunities include Senior Clinical Data Scientist and Medical Scientist positions under its Clinical Solutions organization.

Both positions are listed as full-time, Remote (Pre-Approved), IND-Remote opportunities. These openings can be particularly relevant for professionals with experience in clinical data management, clinical data science, medical/clinical data review, drug development, clinical research, data analytics, and related healthcare disciplines.

Candidates interested in Syneos Health remote jobs in India can review the role-wise eligibility and responsibilities below before applying.

Syneos Health Hiring 2026 – Job Overview

Role 1: Senior Clinical Data Scientist

The Senior Clinical Data Scientist will be responsible for end-to-end coordination of cross-functional clinical data collection, review and cleaning activities. The position focuses on ensuring clinical study data are fit for purpose and meet sponsor expectations, regulatory requirements, study endpoints and contractual timelines.

This is a senior-level Clinical Data Science opportunity requiring substantial experience in data management, data science and project management.

Key Responsibilities

• Serve as Functional Lead for Clinical Data Science activities.
• Act as the primary Clinical Data Science liaison with Project Management, Clinical Monitoring and other functional groups.
• Oversee clinical data quality through holistic review of clinical and operational data.
• Identify data quality risks that could affect patient safety, study analysis or reliability of trial results.
• Ensure appropriate data elements and data-quality oversight activities are identified for study analysis.
• Coordinate cross-functional clinical data cleaning activities.
• Troubleshoot clinical data issues and recommend appropriate solutions.
• Develop clinical data acquisition plans and corresponding data-flow diagrams.
• Evaluate protocol and study-design risks affecting data credibility and reliability.
• Ensure collected data support regulatory requirements and clinical study endpoints.
• Develop and use analytical tools, dashboards and platforms to identify potentially unreliable clinical data.
• Conduct analytical reviews and root-cause analysis of data issues.
• Track and communicate study progress, metrics and project status to sponsors and project teams.
• Ensure Clinical Data Science milestones are delivered according to contracts, SOPs, guidelines and regulations.
• Review budgets and identify out-of-scope Clinical Data Science activities.
• Plan and coordinate Clinical Data Science resources.
• Develop and maintain project plans, specifications and required documentation.
• Ensure appropriate Trial Master File (TMF) documentation is maintained.
• Participate in sponsor, investigator, third-party and internal meetings.
• Contribute to proposals, RFPs and bid-defense meetings.
• Support internal and external audits.
• Train and mentor junior Clinical Data Science team members.

Qualification

Candidates should have:

BA/BS in Biological Sciences, Computer Science, Mathematics, Data Science or related Natural Science/Healthcare disciplines. An MS degree is preferred. Equivalent relevant professional experience may also be considered.

Experience Required

Syneos Health specifically mentions:

12 years of experience in Data Management/Data Science, including at least 4 years of Project Management experience.

Candidates should therefore note that this Senior Clinical Data Scientist job is not a fresher position.

Skills Required

Applicants should have strong knowledge or experience in:

• Clinical Data Science
• Clinical Data Management
• Drug development lifecycle
• Risk-based data review
• Clinical data quality
• Relational database management systems
• Protocol interpretation
• Data cleaning specifications
• ALCOA++ principles
• Clinical data analysis and visualization
• Python
• R
• Spotfire
• SAS
• Artificial Intelligence and Machine Learning concepts
• Regression, classification and clustering
• Project management methodologies
• ICH-GCP
• Medical terminology
• Clinical study regulations
• Data collection and quality oversight

Strong leadership, communication, presentation, analytical and project-management abilities are also expected.

Role 2: Medical Scientist

The Medical Scientist position focuses primarily on clinical and medical review of study participant data. The professional will review clinical data, identify discrepancies, issue and resolve queries, monitor medical aspects of study data and collaborate with Clinical Scientists, Study Medical Directors, Data Management and Clinical Operations teams.

This role can be particularly relevant for professionals with a strong clinical, medical, pharmacy or life sciences background combined with clinical trial and clinical data review experience.

Key Responsibilities

• Serve as a Clinical Data Reviewer.
• Review clinical study data according to the Data Review Plan (DRP).
• Identify errors and discrepancies in clinical data.
• Issue, follow up and close clinical data queries.
• Perform ongoing clinical and medical review of participant data.
• Review patient eligibility and diagnosis.
• Review medical history and previous treatments.
• Evaluate study drug administration information.
• Review AE, SAE and AESI information.
• Review concomitant medications.
• Review investigational product dose titration and compliance.
• Review safety laboratory data.
• Evaluate efficacy assessments when required.
• Review EOT, EOS, survival and coding data.
• Escalate significant findings to Clinical Scientists and/or Study Medical Directors.
• Communicate potential data training needs involving CRAs or study sites.
• Monitor site data-entry performance.
• Help determine root causes of clinical data issues.
• Ensure timely resolution of clinical-data compliance issues.
• Support audit readiness and data quality.
• Contribute to EDC completion training when required.
• Participate in clinical data review meetings.
• Support data cuts, interim analyses, DSURs, Investigator’s Brochures, regulatory requests, site close-outs and final database lock.
• Participate in QC review of patient narratives where applicable.

Medical Scientist Qualification

The provided Syneos Health job description does not explicitly specify a degree requirement for this Medical Scientist opening.

However, based on the stated responsibilities, the role is most aligned with candidates from Medicine, Pharmacy, Pharm.D, Nursing, Clinical Research, Biomedical Sciences and other relevant Life Sciences/Healthcare disciplines, particularly candidates with strong knowledge of clinical trials and medical data review.

Possible relevant educational backgrounds may therefore include:

MBBS / MD / Pharm.D / B.Pharm / M.Pharm / Nursing / Biomedical Sciences / Clinical Research / Life Sciences or another relevant healthcare qualification.

Important: These degrees are inferred from the job responsibilities and should not be interpreted as an official exhaustive eligibility list from Syneos Health.

Medical Scientist Experience

The supplied job description does not specify a fixed number of years of experience.

However, the responsibilities indicate that this is not positioned as a typical entry-level/fresher role. The successful candidate would likely need prior exposure to areas such as clinical trials, clinical/medical data review, clinical data management, medical review, drug safety or related clinical research activities.

Applicants should ideally understand:

• Clinical trial protocols
• Clinical data review
• AE/SAE/AESI review
• Medical terminology
• Concomitant medications
• Safety laboratory data
• EDC systems
• Clinical data queries
• Data cleaning
• Clinical study conduct
• Database lock processes
• DSUR and regulatory data requirements

Candidates with direct clinical/medical data review experience are likely to have the strongest alignment.

Why Join Syneos Health?

Syneos Health is a global life sciences organization operating across drug development and commercialization.

According to the information included in the job posting, Syneos Health highlights:

• Career development and progression opportunities
• Technical and therapeutic-area training
• Supportive line management
• Peer recognition programs
• Total rewards programs
• Exposure to global clinical development projects
• Cross-functional collaboration
• Opportunities to work with experienced clinical research professionals
• Remote working opportunities for these India positions

The company states that over the previous five years it has worked with 94% of novel FDA-approved drugs and 95% of EMA-authorized products, across more than 200 studies, 73,000 sites and 675,000+ trial patients.

Who Should Apply?

The Senior Clinical Data Scientist role is best suited to highly experienced professionals in Clinical Data Management or Clinical Data Science who meet the substantial experience requirements and have project leadership experience.

The Medical Scientist role is more suitable for experienced healthcare/life sciences professionals with knowledge of clinical trials and hands-on exposure to clinical or medical data review.

Candidates should carefully match their education, experience and technical skills against the respective job requirements before applying.

How to Apply

Application Link For Medical Scientist

Application Link For Senior Clinical Data Scientist (2nd Shift – 2 PM to 11 PM IST)