We are looking for a senior research associate in the field of molecular biology and protein expression. The candidate will have a working understanding of protein expression in eukaryotic and prokaryotic systems, and experience in molecular cloning techniques essential for creating unique vectors used for protein expression.
In this role, you will be responsible for developing a business and technical strategy to digitally model current operating conditions relating to our business models (includes defining the approach, identifying the
technical architecture and data strategy, developing digital representations of physical process models).
The successful candidate will be expected to show a high degree of independence to conduct experiments in the laboratory and provide scientific and strategic input into the target portfolio, preclinical animal models and novel in vitro techniques supporting the programs.
In this role, you will work closely with product management to translate requirements into design hypotheses, and investigate them and facilitate product team activities to create design deliverables like personas, empathy maps, and journey maps.
In this role, the successful candidate will work cross-functionally to identify, quantify and mitigate design and process risks via failure modes and effects analysis (FMEA) or other risk management processes.
In this role, the selected candidate will engage with the research community at large, including university collaborations, intern recruiting and mentorship, and publishing and participation in top-tier conferences.
The candidate will be responsible for working closely with individuals in both protein engineering and immunology/oncology groups to innovate and develop the next generation of protein therapeutics for cancer treatment.
In this role, you will be the Chief Scientist leading the strategy, design and implementation of a Digital Simulation Modeling and analytics capabilities, that will enable faster, better decisions regarding the quality of new offers within various business models.
In this role, the selected candidate will lead development of machine learning models/predictive analytics techniques leveraging both repeatable patterns in data and discovering new that reduce cost, increase performance, reliability and or endurance in semiconductor products.
In this role, the selected candidate will develop features on existing technology stacks, implement web services, implement user interfaces/workflows and develop distributed solutions for Creative Cloud for Enterprise team.