• Join an exciting AI-driven research initiative focused on improving the accuracy of protein target annotations used in large-scale bioactivity databases. • Apply your expertise in molecular biology, pharmacology, biochemistry, or chemical biology to validate protein target assignments through primary scientific literature review. • Your work will directly contribute to enhancing high-quality datasets that power next-generation AI models for drug discovery and life sciences research.

Role Description Join an exciting AI-driven research initiative focused on improving the accuracy of protein target annotations used in large-scale bioactivity databases. In this role, you will apply your expertise in molecular biology, pharmacology, biochemistry, or chemical biology to validate protein target assignments through primary scientific literature review. Your work will directly contribute to enhancing high-quality datasets that power next-generation AI models for drug discovery and life sciences research. - Review scientific publications, patents, and other primary literature to verify protein target assignments against UniProt records. - Evaluate the accuracy of protein annotations in large-scale bioactivity databases using scientific evidence. - Identify, categorize, and document incorrect target assignments using established validation guidelines. - Recommend the correct UniProt accession numbers where annotation discrepancies are identified. - Prepare concise, evidence-based summaries that clearly explain scientific reasoning and validation decisions. - Collaborate with research teams to improve the quality and reliability of biological datasets used in AI applications. Qualifications - One of the following: - Bachelor's degree with 5+ years of relevant industry experience. - Master's degree with 2+ years of relevant industry experience. - PhD with research or industry experience in biotechnology, pharmaceutical sciences, or drug discovery. - Educational background in Pharmacology, Biochemistry, Molecular Biology, Chemical Biology, or a closely related life sciences discipline. - Hands-on experience with binding or functional assays such as: - SPR (Surface Plasmon Resonance) - TR-FRET - Radioligand Binding Assays - Kinase Assays - GPCR Functional Assays - IC50, Ki, or KD measurements - Currently working in a laboratory or research environment as a Scientist, Associate Scientist, or equivalent research role. - Practical experience using UniProt or related workflows supporting: - Structure–Activity Relationship (SAR) - High-Throughput Screening (HTS) - Target Validation - Biochemical Profiling - IND-Enabling Research Preferred Qualifications - Experience working with bioactivity databases such as ChEMBL, BindingDB, or PubChem. - Knowledge of selectivity profiling and counterscreening methodologies. - Understanding of pharmacological distinctions such as agonists vs. antagonists and activators vs. inhibitors. - Strong literature review, analytical reasoning, and scientific documentation skills. - Excellent written communication with exceptional attention to detail. Engagement Details - Remote independent contractor opportunity. - Immediate start available. - Expected commitment of 10–20 hours per week. - Initial engagement of 1–2 months, with the possibility of extension based on project needs and performance. - Open to professionals currently based in the United States. Contract & Payment Terms - This is an independent contractor position. - Work can be completed remotely with a flexible schedule. - Project duration may be extended, shortened, or concluded based on business requirements and individual performance. - The role does not require access to confidential or proprietary information from any current or previous employer. - Payments are processed weekly through supported international payment platforms based on approved work completed. Equal Opportunity We are committed to providing equal opportunities to all qualified applicants and making reasonable accommodations throughout the hiring process upon request.

Title: Study Hall Monitor Location: United States Job Description: APPLICATION INSTRUCTIONS: - CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. - CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. - If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS The Morgan Academic Center is accepting applications for Study Hall Monitors for the 2026-2027 academic year. We are seeking graduate or post-graduate individuals who can help support a structured academic environment for student-athletes. Primary responsibilities include: - Maintaining a quiet environment conducive to studying - Supervising student-athletes during independent study sessions - Providing tutoring and mentoring support - Monitoring computer lab usage - Assisting with other assigned study hall duties - Serving as a first point of contact for emergencies outside of regular business hours This position allows for up to 20 hours per week; however, hours are not guaranteed and will be assigned based on departmental need and individual availability. Evening and Sunday hours may be required. Scheduling is flexible when possible. A minimum of a bachelor's degree is typically required for this position. To be considered, applicants must submit an online application, cover letter, and resume. Application materials will be accepted on an ongoing basis and reviewed as staffing needs arise. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines

• Work with the Director of Research and Impact to scope new research projects in topical and culturally-relevant computing, AI, data science education in formal and informal settings in the US and non-US global contexts. • Lead and support a team of researchers and coordinators who are responsible for executing research on time and on budget • Lead the implementation and execution of research projects • Work with the team to ensure the production and dissemination of high-quality research • Build and maintain excellent working relations within cross-functional teams at RPF as well as research partners and collaborators • Support the design of products and tools at RPF through research • Support the use of research developed by the team and from the field across curricular and digital products of the Raspberry Pi Foundation • Contribute to the promotion and mobilization of computing, AI, and data science education research in the community • Write up the results of research and contribute to the publication of results in high-quality, peer-reviewed academic literature • Disseminate results of projects through presentations at conferences, internal and external blog posts, as well as articles in Hello World. • Keep abreast of developments within the discipline and profession, and seek continuous improvement of professional practice • Represent the Foundation’s research to external audiences and stakeholders, in collaboration with the Director of Research and Impact • Establish good communications within the team and with external partners