Job Description

Join to apply for the Scientist/Sr. Scientist Data Curator Life Sciences - Remote role at Rancho BioSciences

Join to apply for the Scientist/Sr. Scientist Data Curator Life Sciences - Remote role at Rancho BioSciences

Scientist / Sr. Scientist Data Curator (Life Sciences)

Full-time | Remote (U.S. only)

Rancho BioSciences is seeking an experienced

Scientist / Sr. Scientist Data Curator (Life Sciences)

Full-time | Remote (U.S. only)

Rancho BioSciences is seeking an experienced Data Curator with expertise in clinical, clinical trial, and/or pre-clinical data harmonization. This is a remote, full-time role open to candidates across the United States. The successful candidate will focus on projects involving the curation and standardization of life sciences data.

We are a leading Data Curation company partnering with some of the most prominent pharmaceutical organizations worldwide. Our distributed team of scientists, curators, computational biologists, biostatisticians, and computer scientists collaborate virtually to deliver projects that have a real impact on human health.

Key Responsibilities

• Curate, clean, and harmonize clinical and/or trial data/metadata using established data standards (diseases, medications, procedures, laboratory/biomarker tests, etc.).
• Map data to ontologies and controlled vocabularies.
• Contribute to the development of new data standards, data models, terminologies, and ontologies.
• Review scientific literature and extract relevant information from publications and public data repositories; generate reports and data manifests in required formats.
• Support and participate in Data Model development.
• Present findings and strategies clearly to both internal teams and external clients.
• Review, monitor, and ensure the quality of curated data.
• Collaborate closely with fellow curators and data scientists.

Desired Skills & Experience

• Strong understanding of clinical data (e.g., patient health histories, symptoms, pathology, biometrics, and patient-reported outcomes).
• Knowledge of R&D processes and the scientific/clinical data lifecycle.
• Experience with clinical trial data, biomedical/biomarker data, and/or real-world data (RWD).
• Exposure to oncology, immunology, gastroenterology, neurology, aging, or related therapeutic areas is highly desirable.
• Familiarity with data standards, semantics, terminologies, and ontologies.
• Experience with cancer staging, pathology, and treatment options (especially oncology combination therapies) is a plus.
• Familiarity with clinical assessments for neurological diseases and aging is a plus.
• Experience with biomedical ontology/standards consortiums (e.g., CDISC, OMOP, NCI, MedDRA, MeSH, RxNorm, OBI, LOINC, Uberon, DOID, etc.) is a plus.
• Familiarity with FAIR data principles (Findable, Accessible, Interoperable, Reusable) is a plus.
• Strong technical skills with Excel; knowledge of R, Python, SQL, or HTML is advantageous.
• Excellent analytical thinking and scientific/clinical data interpretation skills.
• Demonstrated ability to write reports and present findings effectively.
• Strong interpersonal skills and ability to interact with colleagues and client stakeholders.
• Capable of working independently as well as in a collaborative team environment.

Soft Skills

• Strong attention to detail and organizational skills.
• Ability to manage deadlines and prioritize tasks effectively.
• Clear, professional communication at all levels.
• Self-motivated, proactive, and adaptable.
• Ability to learn and adopt new software tools quickly.

Education Requirements

• PhD or MD in Life Sciences.
• Master's degree (MS) with 35 years of relevant experience will also be considered.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Research Services

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Job Tags

Full time, Worldwide,

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