Job Title: Intern, Decision Science

Reporting to: Lead, Decision Science

Location: Durham, North Carolina

 

About Pairwise:

Pairwise is a mission-driven, food+tech company dedicated to building a healthier world through better fruits and vegetables. Pairwise was founded in 2017 by scientists at Harvard University, MIT, and Broad Institute who are eminent in the field of gene editing, as well as biotechnology industry pioneers. Our team is tuned in to consumer food trends, and we believe that consumers deserve more variety and innovation in their fresh food choices. We are primed to deliver that innovation through one of the best gene-editing platforms in food and agriculture. Pairwise has an exclusive 5-year research collaboration with Bayer to develop products in corn, soybean, wheat, canola, and cotton. Plus, Pairwise is developing new types of leafy greens, berries, and stone fruit, with the first product expected in 2023. Pairwise is based in the start-up friendly Research Triangle Park area of North Carolina.

 

About This Role:

We are seeking passionate, engaging, ready-to-learn interns to join us for Summer 2023. We are looking for interns studying analytics and data science. Pairwise offers the opportunity of getting to work with industry leading scientists and professionals in a cutting edge, industry changing, food+tech company. Our interns will be integrated with our teams here at Pairwise to allow for hands on learning in a fast-paced start-up environment. Interns will also have season long cap-stone projects that will add real value and help the team resolve real-world challenges they are currently facing. We like to have fun at Pairwise, so the summer won’t be all work and no play! Pairwise interns will not only have “Intern Only” meeting sessions to talk about their experience and share thoughts and feedback with each other, but will also have events to help with career and educational planning, and team building trips to share in the fun of summer in North Carolina.

 

Essential Functions:

• Collaborate with scientists to create statistical models for genomics, phenotyping or protein science.

• Document all code and project notes with version control (Git) and electronic lab notebook (Benchling).

• Provide weekly updates on progress in team meetings and communicate regularly with relevant stakeholders to align on purpose and solve challenges.

• Prepare and present a final summary of the cap-stone project for a broad internal audience.

 

Required Education & Experience:

• A student currently enrolled in a Masters or PhD program in one of the following disciplines:

o Computational Biology, Statistics, Bioinformatics, Computer Science.

• Plant biology experience is a plus but not required.

 

Offerings:

• Paid internship experience in a field relevant to your studies!

• Real-world, industry work experience.

• Casual work environment.

• Mission-driven organization focused on creating healthier fruits and veggies.

• A cutting-edge, driven community looking to lead the industry in innovation and nutrition.

 

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

 

While performing the duties of this job, the employee is frequently required to sit and use hands to finger, handle or feel, and techniques that require fine motor skills and repetitive motions. The employee is occasionally required to stand and walk. The employee must frequently lift and/or move up to 10 pounds. The employee is regularly required to talk or hear. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

 

EEO Statement:

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

 

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Pairwise we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.