Scientist - Bioinformatics & Microbiology
Lower Gwynedd Township, PA, US, 19002
Nestlé
Nestlé is the world's largest food & beverage company. We unlock the power of food to enhance quality of life for everyone, today and for generations to come.
At Nestlé Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life®, Nature's Bounty®, Vital Proteins®, Orgain®, Nuun®, BOOST®, Carnation Breakfast Essentials®, Peptamen®, Compleat Organic Blends®, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.
At Nestlé Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.
Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.
Position Summary:
The Scientist, Bioinformatics & Microbiology, will be responsible for driving improvements in our understanding of stool donors to optimize business output and manufacturing costs. This role will employ data science to identify key patterns in the donor population that predict bacterial spore levels. This role will also perform experiments on site in the Lower Gwynedd, PA lab to develop new assays to measure donor bacterial spore levels and predict manufacturing yields. The role will utilize a LIMS system to both store data and collect data from for analysis and build-out/validation of new LIMS functionality will be a small part of this role.
A successful applicant will be a creative thinker who is persistent in solving problems independently.
Key Responsibilities:
Bioinformatics and Data Science:
• Perform routine analyses and dashboarding using R-studio (or other Data Science platforms) on donor data to track average bacterial spore titer levels
• Ability to utilize statistical, machine learning, and AI methodologies to predict bacterial spore titer levels
• Perform complex analyses using R-studio (or other Data Science platforms) on donor metadata (such as lifestyle and diet data) to correlate with bacterial spore levels
Microbiology:
• Alongside remote and local senior scientists, perform studies to develop new assays that can better measure stool bacterial spore levels.
• Alongside remote and local senior scientists, perform studies to develop new assays that predict manufacturing yield at the donor-level.
• Support in-house microbiome WMS sequencing library preps as needed.
LIMS Systems:
• Experience using and configuring LIMs system, especially Benchling Validated Cloud LIMS
• Experience architecting and building out data engineering solutions to build a data lake environment
Experience and Education Requirements:
• Bachelor’s degree (science, math, or data analytics strongly preferred) with 3+ years in the Pharmaceutical/Bio Pharma, or academic setting
• Master’s degree (science, math, or data analytics strongly preferred) with 1+ years in the Pharmaceutical/Bio Pharma, or academic setting
• 2+ years of R-studio/data analytics experience
• 2+ years of lab experience with some microbiology component (bacterial culture). Significant undergraduate research experience will be considered.
• Experience with LIMS data entry (academic or industry)
Preferred Skills:
• Assay development experience
• Experience with Python
• Experience with Benchling
• Experience with Benchling development
• Experience with GMP-LIMS development, testing, and/or deployment
• Proven ability to work cross-functionally and lead teams
• Strong interpersonal and written communications skills for internal and external use
• Timeline/critical path management
• Collaborative, strong team player
• Strong verbal and written communication skills with internal and external stakeholders
Requisition ID: 336113
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Data Analytics Engineering Machine Learning Mathematics Pharma Privacy Python R Research Statistics Testing
Perks/benefits: Career development Health care Wellness
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