Research Scientist - Biology

Job Description Weu2019re seeking skilled Biology, Chemistry, and Physics subject matter experts to contribute their specialized knowledge and enhance the quality of our AI training datasets. This role offers the chance to work remotely, partnering closely with Metau2019s AI research teams to advance cutting-edge technologies. What You'll Do: u2003u00b7 Domain Expertise Advisory: Guide research teams to close knowledge gaps and improve AI model performance, focused on your specialty field; collaborate with other subject matter experts to ensure consistency and accuracy in training data u2003u00b7 Guideline Development: Create, edit, and maintain high-quality annotation guidelines tailored to your area of expertise. Ensure that these guidelines are up-to-date, clear, and concise to enable vendors to deliver accurate annotations. As a domain SME, you'll set the gold standard for quality and rigor. u2003u00b7 Quality Assurance: Evaluate and grade the quality of annotations produced by vendors. Identify areas of improvement and provide feedback to optimize the quality of annotations. u2003u00b7 Data Annotation: Directly annotate data for key tasks across the model development life cycle. problems in logical, step-by-step thinking preferred. u2003u00b7 Domain Knowledge: Experience with physics (specific sub-domains below). u2003u00b7 Deep Knowledge: Demonstrated deep understanding and expertise in physics. u2003u00b7 Communication Skills: Strong written and verbal communication skills to effectively convey complex ideas and guidance to internal teams and external vendors. u2003u00b7 Analytical Skills: Exceptional analytical abilities to identify trends, evaluate annotation quality, and provide actionable feedback. u2003u00b7 Collaboration: Proven ability to work collaboratively with cross-functional teams and external partners to achieve shared goals. u2003u00b7 Adaptability: Flexibility and willingness to learn and adapt to new technologies and processes in a rapidly evolving environment. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 Advanced degree (PhD preferred; exceptional candidates with Masteru2019s degrees considered) in a relevant scientific field u2003u2022 Demonstrated expertise in a specialty area within Biology, Chemistry, or Physics (outlined below) u2003u2022 Strong analytical, problem-solving, and technical communication skills u2003u2022 Ability to work both independently and as part of a collaborative scientific team Biological Sciences u2013 Priority Expertise Areas: We are recruiting across a broad range of biological subdisciplines with emphasis on the following (listed by priority need): u20031. Ecology / Environmental Science / Geology Ecosystem dynamics, environmental modeling, Earth systems, geobiology. u20032. Animal Behavior / Evolutionary Biology Behavioral ecology, evolutionary mechanisms, population dynamics. u20033. Bioinformatics Computational biology, genomics, large-scale data analysis, algorithmic methods. u20034. Biomedical & Clinical / Translational Science Physiology, pathology, toxicology, pharmacology, molecular mechanisms of disease. u2022 Record of peer-reviewed publications or demonstrated research impact u2003u2022 Experience with computational tools, statistical modeling, or simulation frameworks u2003u2022 Ability to communicate complex concepts to technical and non-technical stakeholders u2003u2022 Cross-disciplinary interest or experience

Created: 2026-02-02