NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In general, candidates should have a demonstrated track record of success in technical activities associated with automation and be comfortable formulating value proposition automation use cases in a technologically relevant way while addressing key science questions to challenging problems as part of a team effort.