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Data Scientist
Data ScientistPlanet Pharma • Thousand Oaks, CA, United States
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Data Scientist

Data Scientist

Planet Pharma • Thousand Oaks, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Pay range : 43-53 / hr

  • depending on experience

The Digital Data Scientist will support the Combination Product Operations organization by improving the way manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance.

The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling.

This may include, but is not limited to, the following :

  • Applying engineering principles to develop in-silico models for combination products
  • Developing, enhancing, automating, and managing analytics and data-driven models
  • Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements
  • Demonstrating modeling and visualization approaches as part of proof-of-concept projects
  • Transforming ambiguous business and technical questions into measurable and impactful projects
  • Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products.
  • Skills :

    Experience with programming in Python, MATLAB, JMP, and / or Minitab for engineering purposes

    Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL

    Experience with mathematical / first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations

    Familiar with utilizing GitLab for version control, code collaboration, and project management

    Data analysis expertise and statistical or mechanistic modeling experience

    Experience in deriving technical recommendations and specifications from the analysis of measured data

    Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls

    Understanding business needs and developing novel yet practical solutions to meet those needs

    Experience with combination products and device regulatory requirements and medical device development and engineering

    Preferred Traits :

  • Passion for proactively identifying opportunities through creative modeling and data analysis
  • Transform ambiguous business and technical questions into measurable and impactful projects
  • Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools / features (such as predictive / prescriptive algorithms and machine learning)
  • Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment
  • Intellectual curiosity with ability to learn new concepts / frameworks, algorithms and technology rapidly as needs arise
  • Ability to manage multiple competing priorities simultaneously
  • Ability to work in highly collaborative, cross-functional environments
  • Basic Qualifications :

    Bachelor's degree in Engineering plus 5 years of simulation, modeling, and data analysis experience

    Or

    Master's degree in Science or Engineering plus 2 years of simulation, modeling, and data analysis experience

    Or

    Ph.D. in Science or Engineering (simulation, modeling, and data analysis)

    Equal Opportunity Employer : We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.

    Fraud Alert : Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.

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