Novavax, Inc.

Data Scientist I/II (Contractor)

Job description

**Except where prohibited by applicable state law, this position requires that you be fully vaccinated against COVID-19 unless you need a reasonable accommodation or qualify for an exemption.**

If you find science, speed, and success exhilarating, you have come to the right place.

Novavax, Inc (Nasdaq:NVAX) is a biotechnology company that creates transformational vaccines that address some of the world’s most pressing infectious diseases. We have more than a decade of experience contending with some of the world’s most devastating diseases, including COVID-19, seasonal influenza, RSV, Ebola, MERS, and SARS. Hard-won lessons and significant advances illustrate that our proven technology has tremendous potential to make a substantial contribution to public health worldwide.

Our scientists are committed to developing vaccine candidates for some of the world’s toughest viral threats by utilizing the power of our innovative recombinant nanoparticle vaccine platform. Our vaccine technology combines the power and speed of genetic engineering with the immunogenicity enhancing properties of our Matrix-M™ adjuvant to efficiently produce highly immunogenic particles targeting some of the most pressing viral infectious diseases.

Novavax, Inc. is headquartered in Gaithersburg, Maryland with additional facilities in Uppsala, Sweden and Bohumil, Czech Republic.

Summary of the Position:

We are seeking a Data Scientist II (Contractor) to join our Data Science and Statistics team. This position will be responsible for positioning data science as a key competency within the company. You will be creating value from data assets using advanced analytics capabilities including data science, machine learning, and artificial intelligence methodologies to identify critical business risk and opportunities.

About the Role


  • Develop and implement high value add data science innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.
  • Implement solutions from concept to minimum viable product and final product
  • Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools
  • Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making
  • Interpret and communicate analytics results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.
  • Take an enterprise mindset, linking individual responsibilities with the broader organization; focus on outcomes that provide most business value
  • Partner with data science experts from the outside community to share best-in-class solutions and drive collaborative approaches towards data science challenges.


  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics or equivalent field
  • 0 to 3 years of commercial/industry experience, preferably in CMC, working in a hands-on capacity as a Data Scientist
  • An overall understanding of the key challenges in our industry
  • Experience in the areas of analytics, data transformation, and data science
  • Passion and proactiveness for applying state-of-the-art analytical methods to find solutions to complex business problems.
  • Ability to work independently, prioritize within an interdisciplinary environment that includes (data) scientists, analysts, business stakeholders and consultants
  • Excellent communication and effective problem-solving skills; track record in serving a variety of diverse customers and projects
  • Willingness to guide and inspire business stakeholders, data scientists and other colleagues along the journey into the world of data science.
  • Ability to apply scientific principles in a broad range of technical assignments, making independent decisions based on sound scientific reasoning and analysis
  • Demonstrated leadership as applied to the management of complex technical projects
  • Familiar with Agile development methods including Scrum and Kanban preferred
  • Excellent communication and effective problem-solving skills; track record in serving a variety of diverse customers and projects
  • Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and Distributed Systems.

Novavax offers a base salary, annual bonus, equity grants, professional career development/growth opportunities, and a comprehensive benefits package including medical, dental, vision, Rx, STD, LTD, Life, Optional Life, 401(k) plan.

Equal Opportunity Employer/Veterans/Disabled

Novavax is an equal employment opportunity employer. Employment and advancement opportunities are available to all individuals on an at-will basis, regardless of their race, color, national origin, religion, ancestry, citizenship status, military or veteran status, sex, sexual orientation, gender identity or expression, age, marital status, family responsibilities, pregnancy, disability, genetic information, protective hairstyle, or any other characteristic protected by applicable federal, state, or local law.



Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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