Data Analyst - Level 2 - Scientific Knowledge Engineer

Job Summary

As the largest staffing and recruitment agency in the world, we can commit to finding you the perfect role that gives you the opportunity to learn and grow in the life sciences arena. Utilizing a recruiter for your job search gives you access to a large network of top employers as well as detailed information about hundreds of positions. Focusing on immune diseases like HIV that affect a large percentage of the population, the work our longtime partner conducts is imperative to a better, healthier future. To be recognized as a crucial part to furthering this goal, join this growing team now!

location: Telecommute

job type: Contract

salary: $89.00 - 91.25 per hour

work hours: 9 to 5

education: Bachelors

Responsibilities

The Onyx Research Data Platform organization represents a major investment by R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.
• Building a next-generation, metadata- and automation-driven data experience for company's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics."
• Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent.
• Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time.

Job Responsibilities

Definition of schemas and data models of scientific information required for the creation of value adding data products. This includes accountability for the quality control and mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling.
• Accountable for the quality control (through validation and verification) of mapping specifications to be industrialised by data engineering and maintained in platform provisioned tooling - e.g., models, schemas, controlled vocab.
• Working with Product managers/engineers confidently convert business need into defined deliverable business requirements to enable the integration of large-scale biology data to predict, model, and stabilize therapeutically relevant protein complex and antigen conformations for drug and vaccine discovery.
• Collaborate with external groups to align data standards with industry/ academic ontologies ensuring that data standards are defined with usage/analytics in mind. They may also provide data source profiling and advisory consultancy to R&D outside of Onyx.
• Support effective ingestion of data by company through understanding the entry requirements required by platform engineering teams and ensuring that the "barrier for entry" is met e.g. Scientific information has the appropriate metadata to be indexed, structured, integrated and standardised as needed. This may require articulation of company engineering standards and metadata information needs to third parties to ensure efficient and automate ingestion at scale.
• Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights.

Qualifications
• Minimal level: Bachelor's degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life sciences application focus).
• Max level: Master's degree in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science (with a life sciences application focus).
• 4-6 years of experience in this industry.

Top 3 Must Haves
• Ontology/Taxonomy Management skills.
• Knowledge of OWL, RDFS, LINKML.
• Semaphore, TopQuadrant, Protégé.

skills: Molecular Biology, Data Analysis

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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