At a Glance
- Tasks: Drive innovation in ML/AI and software to enhance agricultural biotechnology.
- Company: Join Terrana Biosciences, a leader in sustainable farming solutions.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on interdisciplinary projects and career advancement.
- Why this job: Make a real impact on global agricultural challenges with cutting-edge technology.
- Qualifications: Master’s or Ph.D. in relevant fields and experience in ML/AI software development.
The predicted salary is between 40000 - 56000 € per year.
Founded through Flagship Pioneering’s venture creation engine, Terrana Biosciences is a cutting-edge agricultural biotechnology company developing innovative RNA-based products to address global agricultural challenges. We are committed to advancing sustainable farming solutions through precision technologies that ensure environmental safety and regulatory compliance.
The ML/AI Integration and Enablement Specialist is responsible for driving innovation and execution at the intersection of science, ML/AI, and Software. The role requires a blend of technical expertise, strategic thinking, and leadership to develop, implement, and oversee cutting-edge software, ML, and AI systems that promote and accelerate discovery and development within Terrana’s scientific teams. The position will serve as a bridge between technical specialists and scientific research groups, translating complex needs into scalable software and ML/AI solutions. The ideal candidate will mentor team members, foster interdisciplinary collaboration, and work closely with leadership to drive and align initiatives with Terrana’s strategic goals.
KEY RESPONSIBILITIES
- Develop a good working understanding of the science domain to identify opportunities where ML, AI, software, and data systems can significantly enhance team performance and scientific outcomes.
- Develop and execute a comprehensive ML, AI and software integration strategy, identifying key challenges and defining measurable objectives for technology-driven improvements.
- Design, develop, deploy, and integrate ML, AI, and software tools and systems to automate and optimize the R&D pipeline and operations, transforming them into high throughput platforms.
- Promote AI fluency and data-driven decision-making across the company through the selection and deployment of key tools and the associated technical mentorship.
PROFESSIONAL EXPERIENCE & QUALIFICATIONS
- Master’s or Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field (or equivalent experience).
- 2+ years of experience in ML/AI software development, preferably in a biotech or life sciences environment.
- Proficiency in programming languages such as Python or similar for developing scalable software solutions.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data engineering pipelines.
- Strong understanding of data structures, software architecture, and algorithmic optimization.
- Familiarity with cloud computing, MLOps, and deployment environments (AWS, GCP, or Azure).
- Experience developing and maintaining APIs, databases, and automated data pipelines for scientific applications.
- Knowledge of bioinformatics tools, computational biology data formats, and workflows (FASTA/FASTQ, BLAST, RNA-Seq, etc.).
- Proven track record of leading interdisciplinary projects involving research teams.
- Excellent communication skills and ability to convey complex technical concepts to non-technical audiences.
- Strong organizational skills with the ability to manage multiple projects and priorities effectively.
LOCATION: Cambridge, MA or Durham, NC
We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest.
ML/AI Integration and Enablement Specialist (Contract) employer: Flagship Pioneering
Terrana Biosciences is an exceptional employer, offering a dynamic work environment in the heart of Cambridge, MA or Durham, NC, where innovation meets sustainability. Employees benefit from a culture that fosters interdisciplinary collaboration and mentorship, alongside opportunities for professional growth in cutting-edge agricultural biotechnology. With a commitment to addressing global challenges through advanced ML/AI solutions, team members are empowered to make a meaningful impact while enjoying competitive compensation and a supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land ML/AI Integration and Enablement Specialist (Contract)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your ML/AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to ML/AI. Practice explaining complex concepts in simple terms, as you'll need to bridge the gap between tech and science.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace ML/AI Integration and Enablement Specialist (Contract)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the ML/AI Integration and Enablement Specialist role. Highlight your relevant experience in ML/AI software development and how it aligns with our mission at Terrana Biosciences.
Showcase Your Technical Skills:Don’t hold back on showcasing your programming skills, especially in Python and any ML frameworks you’ve worked with. We want to see how you can bring your technical expertise to the table and drive innovation in our scientific teams.
Communicate Clearly:Remember, you’ll be bridging the gap between technical specialists and scientific research groups. Use clear and concise language in your application to demonstrate your ability to convey complex concepts to non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Terrana Biosciences!
How to prepare for a job interview at Flagship Pioneering
✨Know Your Stuff
Make sure you have a solid understanding of the science domain relevant to the role. Brush up on RNA-based products and how ML/AI can enhance agricultural biotechnology. This will help you identify opportunities during the interview where your skills can make a real impact.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and machine learning frameworks such as TensorFlow or PyTorch. Bring examples of past projects where you've developed scalable software solutions, and be ready to explain your thought process and the challenges you faced.
✨Communicate Clearly
Since you'll be bridging technical specialists and scientific teams, practice explaining complex concepts in simple terms. Use relatable examples to demonstrate your ability to convey technical information to non-technical audiences, which is crucial for this role.
✨Demonstrate Leadership and Collaboration
Highlight any experience you have mentoring team members or leading interdisciplinary projects. Discuss how you foster collaboration and align initiatives with strategic goals, as this will show that you're not just technically proficient but also a great team player.
