Offer summary

Qualifications:

Advanced quantitative background in statistics, machine learning, or a related field, ideally a Ph.D. student or equivalent experience., Strong programming skills in Python or R and experience with large biological datasets., Excellent communication skills and ability to work independently in a fast-paced environment., Knowledge in biology, particularly in synthetic biology or biotechnology, is a strong plus..

Key responsibilities:

Select relevant data from existing plate and tank datasets.

Analyze plate model data to assess its implications for tank model performance.

Recommend improvements to enhance the plate model for pre-screening strains.

Perform other duties as assigned.

Job description

Who We Are:

Antheia is a science and technology company developing next generation plant-inspired medicines. Applying synthetic biology, genomics, bioinformatics, data science, and fermentation, we harness the most beneficial molecules from plants to create active pharmaceutical ingredients in more controlled and economical ways. We are a close-knit team inspired by the possibilities of delivering transformative technologies and breakthrough science to change the course of medicine. We value our people as our most important resource and are always looking for talented individuals who can make valuable contributions to our efforts.

This position will work with the Director of Data Science, carrying out statistical analysis of plate model data to improve this tool’s utility in pre-screening strains before they are tested in fermentation tanks.
A successful candidate will be self-driven and capable of working in a fast-paced environment. Excellent technical and communication skills are required, along with an ability to creatively and flexibly develop solutions to novel problems. Ideally, candidates will also have domain expertise in biotechnology, synthetic biology, or a related relevant field.

Select relevant data from existing plate and tank datasets
Analyze plate model data to determine its implications for tank model performance
Recommend improvements to the plate model to increase its usefulness for pre-screening strains
Perform other duties as assigned[1]

Qualifications:

Advanced quantitative background in statistics, machine learning, or a related field:
o Fourth-year graduate student in Ph.D. program or above.
o Or, Bachelor’s degree plus five or more years relevant work experience.
Strong programming skills (e.g., Python, R) and experience working with large biological datasets
Excellent communication skills and the ability to work independently in a fast-paced, interdisciplinary environment
Experience or knowledge in biology is a plus. Experience in synthetic biology or biotechnology is a strong plus.
This is a remote part-time temporary position which requires 10 hours/week of work.

[1] This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

Antheia’s compensation and benefits include:

Comprehensive compensation package, which includes annual bonus potential and equity opportunities
Paid time off, in addition to company-observed holidays
Excellent medical, dental, and vision insurance
401(k) retirement savings plan
Free access to the Menlo Park Labs Gym
Menlo Park Labs free shuttle service to CalTrain, BART Station, and SF

Antheia is an equal opportunity employer and does not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), taking or requesting statutorily protected leave, or any other basis protected by law. In addition, Antheia prohibits the harassment of any individual on any of the bases listed above or any other characteristics protected under federal, state, or local laws.

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire..

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