Published date Posted on Indeed on Aug 26, 2022 (34 d ago)

Scientific Consultant Job Description

ROLE OVERVIEW

Diamond Age Scientific Consultants collaborate with fast-moving biotech and pharmaceutical companies to solve their biggest bioinformatics challenges. We provide our client partners with actionable insights and real, meaningful results that deliver powerful, timely solutions.

PRIMARY RESPONSIBILITIES

The Scientific Consulting Team at Diamond Age is deeply experienced across the many areas and subfields of computational biology and bioinformatics. Responsibilities of the Scientific Consultant position include, but are not limited to, performing data analysis, interpretation of results, designing experiments, developing tools for data management, software development and engineering, database development, machine-learning and other predictive models, quality control metrics and building custom software tools. Scientific Consultants must demonstrate excellence in verbal and written client communication and management to ensure a high degree of client satisfaction and success. Scientific

Consultants also contribute to business development success.

QUALIFICATIONS & SKILLS

Diamond Age Data Science recognizes that there you may have transferable skills that may not be outlined in the requirements listed below. We believe that building a diverse team of people representing different approaches to critical thinking, decision making and problem solving are what makes us successful and builds value for our clients. We encourage you to apply to
Diamond Age Data Science and tell us about you and your skillset.

  • PhD, MS, or equivalent on-the-job professional experience in a STEM field: Bioinformatics,

Biology, Chemistry, Computer Science, Math, Engineering, Physics or similar

  • If formal training is not in bioinformatics / computational biology / systems biology, then extensive on-the-job professional experience in one of those fields
  • R or Python programming experience
  • Demonstrated excellence in multi-modal scientific communications, including written and oral communications
  • Experience with one or more of the following: single cell profiling technologies, NGS pipeline building, transcriptional profiling analysis for drug discovery, statistical genetics, cancer genomics, cloud engineering, proteomics, CRISPR
  • Collaborative work style with inclusive work and thinking behaviors, commitment to delivering client deliverables in teams
  • Aptitude for organizing, prioritizing and managing multiple projects, using critical thinking and problem solving
  • Demonstrated initiative in goal-driven work in a remote work environment.

EEOC STATEMENT

Diamond Age Data Science believes in a diverse environment, and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Diamond Age Data Science will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Job Type: Full-time

Pay: $120,000.00 - $170,000.00 per year

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Retirement plan
  • Vision insurance

Schedule:

  • 8 hour shift
  • Monday to Friday

COVID-19 considerations:
We all work remotely.

Application Question(s):

  • Please list the specific Bioinformatics skills you have hands-on experience with.
  • What interests you most about Diamond Age?
  • Will you now or in the future require sponsorship to work within the United States?
  • If applicable, are you willing to relocate to the United States?

Experience:

  • post-education bioinformatics: 1 year (Preferred)

Work Location: Remote


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