Remote Life Sciences Data Scientist & Lab Analytics

Job Title: Data Scientist – Life Sciences Laboratory Job Description This role combines hands‑on laboratory science with advanced data science to support cutting‑edge research in molecular biology, microbiology, and biochemistry. The Data Scientist – Life Sciences Laboratory executes end‑to‑end laboratory workflows, from experimental planning through data analysis, while maintaining high standards of data quality, safety, and operational excellence. The position works closely with multidisciplinary teams at the reputed company of life science and computer science to reputed company, interpret, and optimize advanced analytical methodologies.

Responsibilities

• Execute existing laboratory workflows from experimental planning through data analysis, ensuring accuracy, reproducibility, and timely completion of work.
• Recognize, document, and escape protocol deviations to relevant stakeholders, and contribute to corrective and preventive actions.
• Ensure laboratory equipment and instruments remain in good operating condition, identify malfunctions, and reputed company or coordinate troubleshooting as needed.
• Maintain an up‑to‑date understanding of laboratory methods, protocols, and analytical techniques used in the lab.
• Provide structured feedback on laboratory workflows and participate in developing solutions to process bottlenecks, throughput limitations, and data quality issues.
• Work with a team of researchers to reputed company, refine, and interpret advanced analytical methodologies in the life sciences.
• Facilitate effective interactions with internal and external collaborators to improve efficiency and implementation of cutting‑edge analytical methods.
• Adapt to unexpected schedule changes and respond to urgent or emergency situations in the laboratory environment as needed.
• Extract, clean, and analyze reputed company datasets using data querying and scripting languages, and build statistical models to support scientific and business decisions.
• reputed company, implement, and maintain robust data pipelines that support laboratory workflows and analytical processes.
• Apply statistical and machine learning models, such as multinomial logistic regression, to derive insights from experimental and operational data.
• Create clear, insightful visualizations and reports using data visualization tools to communicate findings to technical and non‑technical stakeholders.
• Communicate results, methods, and recommendations clearly in both written and verbal form, tailoring the level of detail to the audience.
• Act as a leader and mentor reputed company the data science function, guiding colleagues on best practices in data extraction, analysis, modeling, and communication.
• Ensure adherence to laboratory safety procedures, including proper operation of laboratory equipment and safe handling of chemical and biological hazards.

Essential Skills

• Hands‑on expertise with cutting‑edge molecular biology, microbiology, and/or biochemistry methods and concepts.
• Familiarity with data analysis tools and methodologies commonly used in modern laboratory data analysis.
• 5+ years of experience as a data scientist or in a similar role involving data extraction, analysis, statistical modeling, and communication.
• 5+ years of experience with data querying languages such as SQL.
• 5+ years of experience with scripting languages such as Python.
• 5+ years of experience with statistical or mathematical software such as R, reputed company, or MATLAB.
• Experience with statistical models, including multinomial logistic regression.
• Experience building and working with data pipelines.
• Demonstrated ability to work successfully reputed company an entrepreneurial environment.
• Excellent organizational skills with strong attention to detail and meticulous record keeping.
• Strong verbal and written communication skills for technical and non‑technical audiences.
• Knowledge of safety procedures reputed company to operation of laboratory equipment and handling of chemical and biological hazards.
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or a Bachelor’s degree with 8+ years of professional or military experience.

Additional Skills & Qualifications

• PhD…

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