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Penn Foster

Sr. Associate, Scientific Software Engineer

Penn Foster, Pearl River, New York, United States, 10965


ROLE SUMMARY

We are seeking an experienced scientific software engineer to join Pfizer Digital’s R&D Solutions organization and contribute to streamlining Pfizer’s R&D workflows and enabling data driven decision-making. You will apply your full stack software engineering skills in modern web user interface design and development, analytics pipelines, and database technologies to digitize drug discovery processes that bring breakthrough medicines to patients. You will work closely with Vaccine R&D researchers to align the solutions with the evolving needs of the scientific community while ensuring system usability, robustness, scalability, and maintainability. A good balance of scientific knowledge and solid technical skills will be key to the success of this role.ROLE RESPONSIBILITIES

Collaborate with Vaccine R&D scientists to understand their workflows and digital needs, design and implement minimally viable products (MVP) from an initial set of requirements, employ agile methodologies for rapid solution evolution.Manage stakeholder expectations on project scope, deliverables and timelines.Work in a matrix, team environment with Pfizer colleagues (both Digital and R&D) as well as vendor partners.Mentor junior members in the software development team on best practices in software development.Advocate for Agile and DevOps methodologies, and keep abreast of emerging technologies.BASIC QUALIFICATIONS

Bachelor’s degree in computer science, information technology, bioinformatics or related fields with 3 years of relevant experience; OR master's degree with 1 year of relevant experience; OR Associated degree with 6 years of relevant experience; OR 8 years' experience with a High School diploma or equivalent.Full stack software development experiences in the biopharmaceutical realm.Experience building clear and effective dashboards using multiple data sources.Programming skills in JavaScript, Java, Python, R, SQL, NoSQL, or other languages.Experience with HPC and cloud platforms such as AWS, GCP and Azure, and familiarity with container technologies such as docker and singularity.Demonstrated ability to act independently, proactively identify problems, troubleshoot issues, and develop potential solutions with innovative approaches.Strong interpersonal, oral, and written communication skills. Must contribute to a team-based, collaborative, and positive environment.PREFERRED QUALIFICATIONS

Advanced degree (MS, PhD) in bioinformatics or computational biology.Experience with data visualization tools like Spotfire, Tableau, etc.Experience with data science and analytics tools like Alteryx, Dataiku, etc.Experience in bioinformatics and Omics data and analysis pipelines.Work Location Assignment:

HybridLast day to apply:

August 11th 2023Relocation assistance may be available based on business needs and/or eligibility.

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