Data Manager

March 13

🚗 Michigan – Remote

Although this job is listed in Michigan, this company may be open to hiring remote in other states.

💵 $87k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Zoetis

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Zoetis is the world’s leading animal health company dedicated to nurturing the world and humankind by advancing care for animals. With over 70 years of innovation in predicting, preventing, detecting, and treating animal illnesses, Zoetis supports livestock farmers, veterinarians, and pet owners globally. The company offers a leading portfolio of medicines, vaccines, diagnostics, and technologies across over 100 countries. Zoetis is committed to sustainability, pioneering scientific discoveries, and enhancing the human-animal bond, working closely with veterinarians to provide essential care for animals.

10,000+ employees

Founded 1952

🧬 Biotechnology

🔬 Science

⚕️ Healthcare Insurance

📋 Description

• The successful applicant embodies Zoetis’ Core Beliefs: Our Colleagues Make The Difference, Always Do The Right Thing, Customer Obsessed, Run It Like You Own It, and We Are One Zoetis. • The candidate will be a member of the Statistics and Data Management team within Veterinary Medicine Research and Development (VMRD). • The candidate will assist and/or lead data management tasks associated with clinical and laboratory animal studies to support global VMRD projects. • This position is perfect for an individual interested in a variety of data-oriented problem-solving opportunities. • A typical day will take one of several forms. • It may be troubleshooting complex data issues for study teams such as understanding why samples are not being correctly associated with subjects or producing reports detailing the current data against an expected schedule of events. • It may be programming a new data pipeline to transfer data from a new source into the clinical data management system. • Whatever form the day takes, you will be bringing your expertise to bear on interesting data problems. • Specific responsibilities may include, but are not limited to: Troubleshoot data issues with study teams through ad-hoc investigations • Program data ingestion and transformation tasks, including automating ingestion pipelines for use across clinical studies. • Support and training for study teams in the use of DM systems and process-specific requests involving study data maintained by these systems such as data imports, data corrections, new study number requests, and data pack unlocks • Provide study-specific database setup. • Follow existing, and develop new, standard operating procedures. • DM assistance to study team members and statisticians to review study protocols and develop data capture and storage specifications for study data.

🎯 Requirements

• Minimum: Bachelor's degree • Desirable: Master’s degree • Minimum: Five or more years of experience working in a technical data-oriented role • Experience designing databases that correspond to data capture forms used for data collection. • Proficiency in programming using SAS, SQL, R, or Python. • Ability to work both as a member of a team and independently in a self-directed and self-motivated manner • Excellent skills in the following competencies: organizing, planning, time management, quality, attention to detail • Well-developed critical thinking skills with the ability to problem solve and provide solutions to study team challenges • Excellent interpersonal skills with very good written and oral communication skills • Competence with Microsoft Office Products • The ability to work EST schedule • Desirable: Experience working with data in a regulated environment • Previous experience designing databases and forms in electronic data capture and/or clinical data management solutions • Previous experience in the preparation of electronic data for regulatory submissions • Intermediate to advanced SAS programming knowledge • Experience with general-purpose programming language (e.g., Python, JavaScript, C#) • Understanding of current Good Clinical Practices (GCP) VICH, Good Laboratory Practices (GLP) and regulatory guidelines that are applicable to conduct clinical studies.

🏖️ Benefits

• healthcare • dental coverage • retirement savings benefits • paid holidays • vacation • disability insurance