Job description
Every day, Braskem's 8,000 team members work to improve people's lives through sustainable solutions in chemistry and plastics. In alignment with our commitment to a circular economy, we focus our global sustainable strategy in three key areas: sustainable processes to reduce waste; an innovative product portfolio; and solutions to support our clients and communities.
We pride ourselves on a culture that promotes diversity and inclusivity (D&I) encouraging its team members to be who they are, following the motto: "You are free to be you." This mindset adds value to the organization by unlocking untapped potential. Braskem promotes collaborative behaviors that encourage new ideas and different perspectives. As a global organization, Braskem offers competitive employee benefits such as parental leave and educational reimbursement. We strongly encourage people with all different backgrounds and experiences, of all races and ethnicities, abilities, and people from the LGBTQIA+ community, to apply.
Braskem America is an indirect wholly owned subsidiary of Braskem S.A. headquartered in Philadelphia. The company is the leading producer of polypropylene in the United States, with six production plants located in Texas, Pennsylvania and West Virginia, an Innovation and Technology Center in Pittsburgh, and a new operation in Boston focused on leveraging groundbreaking developments in biotechnology and advanced materials. For more information, visit www.braskem.com/usa.
Job: Senior Scientist – Systems Biology
Department: Innovation & Technology
Location Renewable Chemicals Innovation Center, Lexington, MA
Travel Involved: ~ 20%
Job Type: Full time
Description:
Braskem America is seeking an exceptional, highly motivated Systems Biologist to work on cutting edge technology in the renewable chemicals space. The successful candidate will use state-of-the-art approaches to make metabolic pathway predictions that inform strain engineering projects, and they will collaborate with wet lab teams to test these predictions. The successful candidate will drive research on the discovery/design and testing of biochemical pathways in the context of milestone-driven, proof-of-concept projects. Strong computational, technical, organizational, and communication skills, as well as the ability to develop creative solutions to challenging problems, are essential.
The ideal candidate will develop in silico models for rational metabolic engineering and apply interdisciplinary technologies to address the complex challenge of metabolic engineering. The candidate will be responsible for leading and/or supporting multiple pathway design research projects to discover and develop novel biochemical pathways for the production of renewable chemicals and materials. They will develop a systems biology platform to integrate quantitative metabolomics and fluxomics data into computational models that will be able to predict targets for optimizing metabolic yields for microbial fermentations at multiple scales, from flasks to bioreactors.
Key Responsibilities Include:
- Metabolic modeling: Apply flux-balance analysis to metabolic engineering projects. Develop pipelines to facilitate the use of next-generation models in a fast-paced metabolic engineering environment.
- Biological data processing: Engineer data flows to ensure that model predictions can be compared to experimental data. Decipher biological data complexity to highlight key features that will help teams reach milestones quicker.
- Developing quantitative models for interpretation of biological data and applying the learnings to generate hypotheses and testable predictions.
- Experience with at least one type of genome-scale metabolic modeling software environment (e.g., COBRA, RAVEN).
- Communication of data and projects both within the team and to senior leadership as well as to external stakeholders.
Requirements:
- Ph.D. in Systems Biology, Metabolic Engineering, Bioinformatics, Chemical or Biological Engineering, Biochemistry, Molecular Biology or related.
- 5 to 10 years of post-doctoral industrial experience.
- Strong background in microbial physiology, metabolic engineering, pathway discovery, and biochemistry
Must be highly motivated with exceptional communication, leadership, and teamwork skills.
Preferred Skills, Education, and Experience:
- Experience with computer programming languages (Python, C++, Matlab).
- Experience with machine learning for data analysis.
- Wet lab experience, particularly that related to Metabolic Flux Analysis via isotopic labeling.
Must be currently eligible to work in the United States without the need for any type of sponsorship. The Company is committed to equal employment opportunity and providing reasonable accommodations to qualified candidates and employees pursuant to applicable law. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, military and veteran status, gender identity or expression, genetic information, or any other characteristic protected by federal, state, or local law. If you require reasonable accommodation as part of the application process please contact the Talent Acquisition team.
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