Senior Clinical Data Manager

Posted 15 Days Ago
Be an Early Applicant
Boston, MA, USA
Hybrid
145K-217K Annually
Senior level
Biotech
The Role
Leads clinical data management for assigned trials from study startup through database lock and closeout. Oversees CROs and external vendors, clinical systems, data integrations, cleaning, coding, reconciliation, database lock, and submission readiness. Reviews data management deliverables, monitors data quality and risk metrics, supports audits and regulatory submissions, and collaborates with clinical, biostatistics, pharmacovigilance, regulatory, and operations teams.
Summary Generated by Built In

Company Overview

Tango Therapeutics is a biotechnology company dedicated to discovering novel drug targets and delivering the next generation of precision medicine for the treatment of cancer.

Using an approach that starts and ends with patients, Tango leverages the genetic principle of synthetic lethality to discover and develop therapies that take aim at critical targets in cancer.

This includes expanding the universe of precision oncology targets into novel areas such as tumor suppressor gene loss and their contribution to the ability of cancer cells to evade immune cell killing.

Tango’s labs and offices are located at 201 Brookline Avenue, in the vibrant Fenway area of Boston, Massachusetts.

 

Summary

The Senior Manager, Clinical Data Management serves as the Data Management lead for assigned clinical trials and is responsible for the planning, oversight, execution, and delivery of data management activities from study startup through database lock and study closeout. The role provides sponsor oversight of outsourced data management activities, ensures high-quality and inspection-ready clinical data, and collaborates with cross-functional stakeholders to support trial execution, regulatory compliance, and clinical development objectives.


Your Role:

  • Serve as the Data Management representative within the Clinical Trial Team (CTT) and provide oversight of Data Management activities throughout the clinical trial lifecycle
  • Provide sponsor oversight of CRO and external data vendors, ensuring Data Management, IRT and eCOA activities and deliverables are executed in accordance with study requirements, quality standards, timelines, budgets, contractual obligations, and regulatory requirements
  • Ensure timely delivery of complete, accurate, reliable, and inspection-ready clinical data through effective oversight of outsourced Data Management activities, including EDC, IRT and eCOA system build, validation and maintenance, data collection, data cleaning, medical coding, external data integration and reconciliation, database/system lock, and submission readiness
  • Review and approve key Data Management deliverables, including CRF/eCRF, IRT, eCOA specifications, edit checks, Data Management Plans, CRF completion guidelines, data transfer specifications, external data reconciliation plans, and other study-specific documentation
  • Establish and monitor data quality metrics, KPIs, and data review strategies to ensure data integrity, consistency, and compliance throughout the study lifecycle
  • Lead oversight of external data integrations, transfers, reconciliations, and vendor-managed data streams to ensure completeness, quality, and regulatory compliance
  • Partner with CTT, CRO and external vendors to support effective planning, integration, review, and reporting of clinical trial data
  • Identify data-related risks and issues and lead the development, implementation, and monitoring of mitigation and contingency plans
  • Participate in audits, inspections, and inspection readiness activities and ensure timely assessment, response, and resolution of Data Management-related findings
  • Contribute to regulatory submissions, health authority responses, and other regulatory deliverables, as required
  • Support the development and implementation of Data Management standards, processes, technologies, and continuous improvement initiatives

What You Bring:

  • Bachelor's degree in Computer Science, Life Sciences, Mathematics, Health Sciences, or related field
  • 5+ years of Clinical Data Management experience within the biotechnology, pharmaceutical, or CRO industry
  • Experience leading Data Management activities for clinical trials in a regulated environment
  • Experience managing outsourced Data Management activities and providing vendor oversight
  • Experience managing clinical systems (incl. IRT/ eCOA) configurations and implementations, enhancements, integrations, and technology vendors;
  • Experience leading User Acceptance Testing (UAT)
  • Experience supporting database build, data cleaning, external data integrations, medical coding, database lock, and submission readiness activities
  • Experience working within global clinical development organizations
  • Experience supporting audits, inspections, and inspection-readiness activities preferred
  • Experience using electronic data capture (EDC) platforms and clinical data technologies
  • Oncology clinical development experience preferred
  • Strong knowledge of Clinical Data Management processes and the clinical trial data lifecycle
  • Strong knowledge of ICH-GCP, FDA regulations, EU Clinical Trial Regulation (CTR), data integrity principles, and other applicable regulatory requirements
  • Knowledge of CDISC standards, including CDASH and SDTM, and associated clinical data requirements
  • Proficiency with EDC systems, IRT, eCOA, and related clinical technologies
  • Knowledge of medical coding dictionaries, including MedDRA and WHODrug
  • Familiarity with data visualization, analytics, and reporting tools
  • Strong understanding of risk-based quality management and critical-to-quality (CtQ) principles
  • Strong vendor management and sponsor oversight capabilities
  • Strong project management, organizational, and prioritization skills
  • Excellent collaboration skills with cross-functional stakeholders, including Biostatistics, Statistical Programming, Pharmacovigilance, Clinical Operations, and Regulatory Affairs
  • Strong analytical thinking, problem-solving, and decision-making capabilities
  • Excellent written and verbal communication skills

#LI-Hybrid

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Salary range
$144,800—$217,200 USD

Skills Required

  • Bachelor's degree in Computer Science, Life Sciences, Mathematics, Health Sciences, or a related field
  • 5+ years of clinical data management experience in the biotechnology, pharmaceutical, or CRO industry
  • Experience leading data management activities for clinical trials in a regulated environment
  • Experience managing outsourced data management activities and providing vendor oversight
  • Experience managing IRT and eCOA configurations, implementations, enhancements, integrations, and technology vendors
  • Experience leading User Acceptance Testing
  • Experience supporting database build, data cleaning, external data integrations, medical coding, database lock, and submission readiness
  • Experience working within global clinical development organizations
  • Experience supporting audits, inspections, and inspection-readiness activities
  • Experience using EDC platforms and clinical data technologies
  • Oncology clinical development experience
  • Strong knowledge of clinical data management processes and the clinical trial data lifecycle
  • Strong knowledge of ICH-GCP, FDA regulations, EU Clinical Trial Regulation, data integrity principles, and applicable regulatory requirements
  • Knowledge of CDISC standards, including CDASH and SDTM
  • Proficiency with EDC systems, IRT, eCOA, and related clinical technologies
  • Knowledge of medical coding dictionaries, including MedDRA and WHODrug
  • Familiarity with data visualization, analytics, and reporting tools
  • Strong understanding of risk-based quality management and critical-to-quality principles
  • Strong vendor management and sponsor oversight capabilities
  • Strong project management, organizational, and prioritization skills
  • Excellent cross-functional collaboration skills
  • Strong analytical thinking, problem-solving, and decision-making capabilities
  • Excellent written and verbal communication skills
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The Company
HQ: Cambridge, MA
157 Employees
Year Founded: 2017

What We Do

Tango Therapeutics is a biotechnology company discovering and developing novel medicines targeting cancer vulnerabilities to deliver transformational new therapies for patients. Tango was launched in 2017 with a $55 million Series A investment from Third Rock Ventures. The company has established a robust product engine that leverages advances in DNA sequencing and CRISPR-based target discovery to generate breakthrough medicines that have the potential to provide deeper, more sustained benefit than today’s targeted therapies, and extend the benefit of available immuno-oncology agents. Tango Therapeutics is focused on three areas of drug development, each in well-defined patient populations currently lacking effective treatment options, and each with hallmarks of cancer that have not been targeted yet. These include: loss of tumor suppressor gene function; multiple oncogenic drivers; and immune evasion. What fuels each of Tango’s programs is an increasingly sophisticated ability to utilize synthetic lethality - the interaction between two genes that causes cell death when both are inactivated. In cancer cells, one of these genes is inactivated by mutation; the other will be inactivated by a drug. This approach leaves normal cells largely unaffected, with the potential to greatly enhance anti-tumor efficacy and reduce associated toxicity. Tango’s success will be driven by its depth of understanding of the genetic subtypes of cancer, and corresponding insights into novel drug targets and combinations uniquely relevant to each subtype. By shaping discovery efforts in this way, Tango has the potential to reach the clinic quickly, and with a clear plan for identifying the patients most likely to benefit from each new treatment, an approach that could increase both speed and probability of success in translating novel target discoveries into transformational new medicines for patients.

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