Role Description Eurofins BPT-Columbia is looking for a Scientist I to join our Investigations team in our Biochemistry department located in Columbia, Missouri. This Scientist I is a remote position that focuses on investigations and is an intermediate-level professional position involved in somewhat complex day-to-day activities in a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). Responsibilities include: - Completing work for research and development under CGMP and/or GLP guidelines for studies, documentation, etc. - Assisting in conducting, monitoring, and reporting studies to ensure data accuracy and report quality. - Providing somewhat complex analytical work on projects and studies using a range of analytical techniques and instruments. - Working with increasing independence on studies and assignments. Qualifications - Practical knowledge of laboratory instrumentation (HPLC, CE-SDS, icIEF, ELISA, cell-based assays, etc.) - Experience with a LIMS system desirable. - Understanding of internal processes for investigational work. - Ability to assess root cause using fishbone or 5 why’s. - Ability to drive CAPAs and Investigations to completion on tight timelines by working across multiple departments. - Attention to detail. - Ability to work on multiple ongoing projects. Requirements - Bachelor’s degree in relevant field such as chemistry, biochemistry, biology, chemical engineering, pharmaceutical sciences, or other directly related field or degree with comparable coursework in the above areas. - 1-3 years of experience working in a cGMP compliant lab. Benefits - Comprehensive medical coverage, dental, and vision options. - Life and disability insurance. - 401(k) with company match. - Paid vacation and holidays.

Title: Assistant Professor, Computer Information Science - IFO (AA27054) Location: MANK - Mankato Job Description: Working Title: Assistant Professor, Computer Information Science - IFO (AA27054) Institution: Minnesota State University, Mankato Classification Title: State University Faculty Bargaining Unit / Union: 209: Inter Faculty Organization City: Mankato FLSA: Job Exempt Full Time / Part Time: Full time Employment Condition: Unclassified - Unlimited Academic Salary Range: $64,963.00 - $188,620.00 Salary Type: Depends on qualifications Application Deadline: Review of applications will begin on May 6, 2026 and continue until the position is filled. Position: Tenure-Track (Probationary*) Job Description The department of Computer Information Science at Minnesota State University, Mankato invites applications for a probationary, Assistant Professor beginning August 17, 2026. This position supports the undergraduate and graduate programs in the Department of Computer Information Science at Minnesota State University, Mankato. Responsibilities include, but are not limited to, teaching undergraduate and graduate courses for the Computer Information Technology, Computer Science, Management Information Systems, Data Science, and Artificial Intelligence programs. Candidates must demonstrate motivation and expertise to support quality teaching, advising, professional development, and funded scholarly activity. The successful candidate will also actively participate in departmental committee work, curriculum design, assessment, and help create innovative strategies for student recruitment, retention, and program completion. - A typical faculty workload responsibility may include up to twenty four (24) credits of instruction per academic year. - The successful candidate may need to teach in other areas as assigned and qualified. - May be expected to develop and deliver face-to-face, hybrid, and on-line instruction at the Mankato campus, online, and/or at the university’s additional locations, as assigned. - The successful candidate will collaborate with colleagues in curriculum design, instruction and evaluation, conduct research productively and mentor students in research, help create innovative strategies for student recruitment, retention, and completion, and may be expected to develop external grant funding opportunities. - All faculty members are expected to engage in scholarly or creative activity or research, in continuing preparation and study, in contributing to student growth and development, and in providing service to the university and community (See Article 22 and Appendix G of the IFO Master Agreement) - The successful candidate may need to teach undergraduate and graduate courses in advanced database, advanced data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing, or other areas as assigned and qualified. - The successful candidate will demonstrate a commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies. - Faculty will be knowledgeable about current industry trends and emerging research. - This position will advise and mentor students, including graduate-level theses and other capstones papers. Minimum Qualifications - Doctoral degree in Computer Science, Computer Information Science, Data Science, Information Technology, Management Information Systems, or a closely related field conferred on an official transcript by the date of appointment. - Demonstrated ability to work effectively with individuals from a wide range of diverse backgrounds and to foster a professional environment that is inclusive, respectful, and equitable for all. Preferred Qualification - Ability to teach a variety of topics at the undergraduate and graduate level in advanced database, advanced data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing. - Demonstrated commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies. - Demonstrated experience fostering an inclusive, equitable, and respectful environment while working effectively with individuals from diverse backgrounds. - Demonstrated success or strong potential for productivity in research, grant writing, creative activity and scholarship. - Ability & willingness to advise and mentor students, including graduate-level thesis and other capstone papers. - Demonstrated effective written, oral communication and presentation skills. Application Procedures: A complete online application will include the following attachments. Incomplete applications will not be reviewed by the search committee. - Cover Letter - Non-Photo Resume/Curriculum Vitae - Contact Information for three (3) references - Unofficial Transcript(s) of your highest completed degree - A brief (no more than one-page) response to the following: Provide a specific example from your professional or academic experience that demonstrates your ability to work effectively with individuals from a wide range of diverse backgrounds. In your response, describe the actions you took to foster an environment that was inclusive, respectful, and equitable for all. What was the outcome, and what did you learn from the experience? - A one (1) page statement of your teaching philosophy, including your experience or familiarity with the use of active learning, project-based learning, and/or experiential learning. - A one (1) page statement of your research/scholarly interests. - Evidence of successful teaching, such as teaching evaluations.

• Design simulation environments and digital twins for enterprise workflows • Post-train LLM agents using RLHF, DPO, GRPO, PPO, and emerging methods • Build pipelines that convert human-labeled traces and verifiable signals into training data • Architect multi-turn, tool-using agents with closed learning loops • Design reward functions and verifiers that resist reward hacking and reflect real task outcomes • Set the technical bar across the team — architecture, code review, engineering standards • Mentor researchers and engineers; drive technical direction through influence • Translate research into production; contribute to publications

• Implement, experiment with, and refine deep learning models for protein-ligand co-folding and structure prediction • Design and execute systematic evaluation pipelines to measure model performance against state-of-the-art methods and internal benchmarks • Collaborate with senior scientists and engineers to integrate validated models into production-ready drug discovery workflows • Employ computational and data analysis techniques to generate insights from structural and sequence datasets • Present research progress through internal scientific talks, technical write-ups, and contributions to peer-reviewed publications • Work closely with multidisciplinary teams to prototype and scale impactful solutions