Data Scientist

Corteva Agriscience

Data Scientist (see notes below)

Location: Remote

Terms: Contract no restrictions

Interview: 12 rounds virtual

******Please only send candidates with Ag experience that have the BERT experience we will not be submitting candidates that only have one or the other.

Please find the new role with Corteva Agriscience below. This is a niche skill so please read carefully before sending over any candidates. Candidates will be called by end of week.

I wanted to give some clarification on a few things here after reviewing resumes .

Candidate should have some kind of experience working within an AGRICULTURE environment. Due to the number of vendors Corteva works with its hard for us to get a resume looked at unless they have this experience as the project scope is based around create new data types for new crops. (This goes for about any Corteva role that gets kicked out)

The position can sit remote IF they do not live within 50 miles of Indianapolis IN or Johnston IA. IF they lived within that territory they would be asked to be onsite T/W/TH every week. (Again this is the same for every Corteva role that weve worked)

Please ensure if they have experience with BERT that they are able to explain it in their professional history and not just a bullet in their technical skillset.

**We need a Data Scientist with demonstrated expertise in training and evaluating transformers such as BERT and its derivatives.

Contractor Resource Request

Desired Role & Level:

Role / Level: Data Scientist / Mid

Location:

Johnston IA candidate living within 50 mile radius of location required onsite T/W/TH each week.

Remote candidate can be considered as remote if in the US and living more than 50 miles from above indicated GBC locations.

Project Scope and Brief Description:

(i.e. Connex Encirca)

Nextgeneration Artificial Intelligence for Genomics will use more complex datatypes and be applied to new crop contexts. We need a Data Scientist with demonstrated expertise in training and evaluating transformers such as BERT and its derivatives.

Responsibilities:

Improve the genomics LLMs for gene expression profiling by incorporating new sequencing data types adopting new foundation models and applying new finetuning techniques in LLMs. Develop the Generative AI tool for automated genome editing design based on the improved LLM.

Skills / Experience:

Required: Proficiency with Python pyTorch Linux Docker Kubernetes Jupyter. Expertise in Deep Learning Transformers Natural Language Processing Large Language Models

Preferred: Experience with genomics data molecular genetics. Distributed computing tools like Ray Dask Spark.