• FutureSearch is looking for exceptional Research Scientists to evaluate and improve state-of-the-art forecasting and agentic LLM web research. • We have the best publicly available forecaster, with a public track record in forecasting tournaments at evals.futuresearch.ai and markets.futuresearch.ai. • We publish papers, such as our ICLR Workshop paper in Jan 2026, and benchmarks like Deep Research Bench and Bench to the Future. • We use our frontier research tools to research the future, such as co-authoring the AI 2027 Timelines Forecast. • We work with frontier labs on research, evaluation, and training.

• Lead high-impact foundational, generative, and evaluative research that informs strategy for Reddit’s consumer product experiences. • Investigate user behaviors, motivations, and needs across key discovery, consumption, engagement, and contribution experiences. • Design and execute rigorous qualitative research, including interviews, usability studies, concept testing, diary studies, and other methods appropriate to the product question. • Integrate qualitative insights with quantitative signals, behavioral data, surveys, experimentation, and product metrics to develop a holistic understanding of user behavior. • Partner closely with product, design, engineering, data science, and other cross-functional teams to shape roadmaps, identify opportunities, and influence product direction. • Communicate research findings through clear narratives, actionable recommendations, and compelling storytelling tailored to cross-functional partners and leadership audiences. • Proactively identify research opportunities across a broad product area and help teams connect user insights to product impact.

• 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.