About the Role: Join the Pre-Pivotal Drug Substance Technologies group, where you'll contribute to the development and scale-up of upstream and downstream processes for early-stage drug programs. This hybrid role combines data analytics and wet-lab bioprocessing - ideal for early-career candidates with a background in life sciences, data science, or engineering.
What We're Looking For:
The ideal candidate has a strong foundation in data visualization and scripting (Python or R), experience working with biological datasets, and basic lab skills in cell culture and protein purification. You'll build data models, generate reports and dashboards, and assist with lab experiments. Internship or 1 year of industry experience is preferred, but motivated recent graduates are also encouraged to apply.
This position sits within an integrated bioprocess development group where cell culture and purification scientists collaborate to advance the company's rich and dynamic pipeline. With a biology-first approach, this role offers the unique opportunity to contribute to multiple therapeutic modalities, including antibodies, BiTEs, oncolytic viruses, bispecifics, and siRNAs.
location: Newbury Park, California
job type: Contract
salary: $25.00 - 31.59 per hour
work hours: 9 to 5
education: Bachelors
responsibilities:
- Develop and maintain data analysis pipelines, including implementation and visualization tools
- Support data processing requests and create data visualization tools
- Support lab automation development and maintenance
- Analyze chemical and biological datasets to support process development
- Build automated data pipelines and internal databases
- Develop and deploy new data analysis methods to mine and integrate internal datasets
- Support the design and execution of bench-scale cell culture and protein purification experiments
- Apply creative thinking to contribute to technology development, including process and data automation
qualifications:
Required:
- BS or MS in Chemical Engineering, Biochemical Engineering, Data Science, Computer Science, or related field.
- Proficiency in R or Python (and associated libraries/packages)
- Experience working with biological datasets
- Hands-on wet-lab experience (cell culture and/or protein purification)
- Strong analytical thinking and attention to detail
- Internship or 1+ year industry experience
- Familiarity with data tools like JMP, Spotfire, Tableau, or MATLAB
- Understanding of protein chromatography, filtration, cell culture, and/or DoE principles
- Motivated self-starter with excellent interpersonal and organizational skills.
skills: R Language, Biomedical Engineering, Data Analysis Software, Process Engineering
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.
Qualified applicants in the unincorporated areas of Los Angeles County with criminal histories will be considered for employment in accordance with the Los Angeles County's Fair Chance Ordinance for Employers.
We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
