Applied Genetics Scientist Pipeline Data Science
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Job Location:
Durham, NC - USA
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
Applied Scientist - Pipeline Data Science
- Type: Permanent
- Department: Seeds Development / Vegetables
- Location: Enkhuizen NL RTP - US
Into action
Do you thrive at the intersection of data engineering predictive analytics and innovation As our Applied Scientist - Pipeline Data Science you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust efficient pipelines youll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation.
The challenge
As an Applied Scientist youll focus on building the infrastructure that makes data accessible reliable and actionable for diverse stakeholders. Your key responsibilities will include:
- Building Scalable Data Pipelines: Design implement and optimize data pipelines that integrate and consolidate data from multiple sources ensuring seamless data flow and availability.
- Ensuring Data Quality and Reliability: Contribute to data mining curation analytics and visualization of data sets to gain deep understanding of the crop(s) and enable successful application of technology
- Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches.
- Collaborating Across Teams: Work closely with IT applied data science teams and business stakeholders to align data solutions with organizational goals addressing unique data needs efficiently.
- Identify opportunities to incorporate advanced analytics including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
- Influence adoption of genomic prediction methods contribute towards their integration in the breeding process and the transformation of respective breeding schemes
This role combines creativity and problem-solving with a focus on real-world applications. Youll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations.
Qualifications :
Your profile
We seek a detail-oriented Applied Scientist with a Masters in Computer Science Statistics Applied Mathematics Quantitative Genetics or related fields. You combine strong technical skills analytical insight and a collaborative mindset.
- Programming: Skilled in Python R SQL; experienced with relational and NoSQL databases.
- Cloud: Familiar with AWS services and infrastructure.
- Analytics: Able to uncover patterns in large datasets and translate findings into actionable recommendations.
- Collaboration: Effective team player able to communicate technical concepts to diverse stakeholders.
- Bonus: Experience with Docker/Kubernetes machine learning frameworks (Keras PyTorch scikit-learn) and interest in plant breeding or agricultural innovation.
Additional Information :
What We Offer:
A culture that celebrates belonging and collaboration promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
Full Benefit Package (Medical Dental & Vision) that starts your first day.
401k plan with company match Profit Sharing & Retirement Savings Contribution.
Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation marital or veteran status disability or any other legally protected status.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more
