Associate Principal Computational Biologist in Neuroscience

Role overview Recursion Pharmaceuticals is hiring an Associate Principal Computational Biologist in Neuroscience to join its data science team. This position can be based in New York, NY or Salt Lake City, UT. The focus is on advancing preclinical drug programs in neuroscience by integrating and analyzing complex biological datasets. What you will do Lead analyses for neuroscience-focused preclinical drug programs, supporting target nomination, validation, and early-stage program development. Integrate diverse data types from Recursion's platform, such as phenomics, transcriptomics, and proteomics, to connect target biology with disease mechanisms. Propose new targets and help launch programs in emerging neuroscience areas. Collaborate with biologists and medicinal chemists to assemble data packages for targets identified through phenomic maps, target screens, and patient-derived datasets. Work with computational scientists to develop and refine methods for translational validation, mechanism-of-action studies, and ensuring patient relevance for targets and therapies. Key responsibilities Deliver biological insights on therapeutic candidates and disease biology by analyzing high-dimensional datasets to inform clinical development strategies. Evaluate molecular and biological evidence supporting therapeutic hypotheses to help move drug programs toward clinical phases. Synthesize internal and external datasets to generate and test hypotheses related to drug discovery, biomarker identification, and defining target patient populations. Present analytical findings to stakeholders and decision-makers, emphasizing clarity and impact to speed the delivery of new medicines. Assess new data sources, develop scalable analytical methods, and support critical decisions for program advancement. Standardize analytical approaches to ensure results are reproducible and reliable.

Computational BiologistValthos Inc.At Valthos, we are pioneers in applied biological intelligence, dedicated to developing and implementing software and biological AI systems aimed at safeguarding humanity.Our advanced AI architectures, which empower self-driving vehicles, ensure precision in rocket landings, and facilitate expert-level decision-making, are now being adapted for biological design. To maintain our competitive edge, we continually enhance our toolkit to effectively address the dynamic mutational landscape of nature.Our team is composed of passionate software engineers from Palantir and cutting-edge biological ML engineers from MIT’s Broad Institute and DeepMind, striving to make the latest advancements in computational biology practical for both federal and commercial applications.We are on the lookout for a talented Computational Biologist to interlink machine learning with biological sciences. This role involves the creation of robust data frameworks and evaluation systems to address biological threats and facilitate the rapid design of precision biologics.Your ResponsibilitiesShape and implement the research and development strategy across Valthos.Identify and curate extensive biological datasets for training cutting-edge biological models, alongside developing workflows for dataset processing.Develop and implement evaluation frameworks to rigorously assess model performance on real-world biological security challenges.Design and execute wet-lab experiments to validate the effectiveness and practical applications of developed biologics.Work collaboratively with AI engineers to create and train models specifically tailored for biological security and precision biologics tasks.Partner with software engineers to develop and deploy data analysis tools, ensuring thorough documentation and testing.Effectively visualize and communicate findings both internally at Valthos and to external stakeholders.Engage with customers and external collaborators to discern their needs and represent Valthos effectively.Commit to continuous personal and professional development in both technical and non-technical areas relevant to Valthos.Stay abreast of cutting-edge methods at the intersection of AI and biological sciences.

Position Summary We are looking for a dedicated Computational Biologist who is eager to leverage data-driven, scalable methodologies to uncover biological insights. The perfect candidate will be an innovative thinker with robust computational and quantitative skill sets, capable of collaborating seamlessly with both experimental and computational scientists. In this role, you will design, implement, and enhance computational pipelines tailored for single-cell perturbation datasets, while also playing a key role in model development and experimental design. This represents a unique opportunity to join a vibrant, interdisciplinary team and significantly influence Neptune Bio’s computational strategy and infrastructure.

Recursion Pharmaceuticals seeks a Senior Computational Biologist to join the Target Identification team in either New York, NY or Salt Lake City, UT. The group’s focus is large-scale discovery of novel therapeutic targets across the genome and a wide spectrum of diseases. This position centers on advancing Recursion’s drug discovery strategy. The Senior Computational Biologist serves as a biological expert within a technical data science group, playing a key role in building and improving target discovery pipelines. Responsibilities include hands-on integration of varied data sources, such as Recursion’s internal maps, functional genomics, and patient data sets like transcriptomics, genetics, and real-world evidence from electronic health records. What you will do Discover and evaluate: Propose and validate new therapeutic targets by integrating patient data (transcriptomics, population genetics, EHR) with Recursion’s multi-omic datasets. Guide and automate: Work with data scientists to design, refine, and direct semi-automated target discovery tools. Ensure these tools are biologically sound and scalable across therapeutic areas. Triangulate: Use advanced statistical approaches, including causal inference and survival modeling, to connect targets with patient populations and define groups for early-stage pipeline development. Requirements Expertise in computational biology and strong familiarity with data science technologies. Experience building and assessing predictive models and intelligent analytical pipelines. Deep understanding of patient-relevant datasets, disease biology, and target discovery processes. Ability to guide colleagues in using biological data for program development. Proficiency in integrating multiple data types and piloting new analytical methods. Comfort working with semi-automated tools, including multi-agent LLM systems for portfolio management and target evaluation. Impact This role offers the opportunity to shape drug discovery, influence the development of intelligent tools, and directly affect patient outcomes. The Senior Computational Biologist will work closely with data scientists and software engineers, ensuring that new technologies remain grounded in biological evidence and deliver meaningful results for patients and Recursion’s portfolio.

About the RoleJoin our innovative team at Output and contribute towards the development of the world's pioneering biological reasoning model. Collaborate with us to create generative foundational models that can decode biological systems across various scales—from molecular to organismal—empowering us to predict, comprehend, and program living systems in unprecedented ways.Output operates in stealth mode, managed by a team of seasoned founders and biotech veterans with multiple successful exits in AI and biotechnology, and supported by esteemed venture capital firms including Y Combinator.As a Senior Computational Biologist, you will collaborate closely with our research team and founders to develop artificial intelligence systems that can perform intricate biological reasoning across diverse scales.Develop machine learning methodologies to enhance our predictive and generative platform.Design and implement computational pipelines to validate and prioritize newly generated molecules utilizing state-of-the-art tools.Leverage your profound understanding of biology to create novel therapeutics targeting challenging proteins with our generative models.Analyze and integrate extensive biological datasets.Your efforts will directly influence the growth of our biologically-aware AI platform, revolutionizing the field of medicine.Make a significant impact on millions of lives by pushing the boundaries of AI in the biological domain.

LaBella Associates is actively looking for experienced candidates to join our Program Management Services Division as a Principal Engineer - Transmission Lines, based in our Binghamton, NY office. Our Program Management Services Division excels in delivering comprehensive management solutions for intricate projects and multi-year capital programs. We form project teams that offer a tailored blend of business consulting, project management, financial oversight, administrative, and technical support services.Salary Range: $115,000 - $155,000The precise salary offered will take into account various factors such as the candidate's relevant experience, educational background, and work location.Key Responsibilities:Selection of conductorsRecommendations for structural designsConducting studies on insulation, A/C interference, static wire, and groundingDesigning transmission lines with detailed plans and profiles, including cross-section detailsUtilizing LiDAR and aerial photographic dataIncorporating wetlands, vernal pools, and sensitive resource data into line and structure designCreating detailed estimates and probability modelsPerforming additional studies as necessary to complete projectsLeading the overall design of transmission lines for capital projectsReviewing and designing transmission line plans and profiles using PLSCAD to ensure compliance with AVANGRID TM standards and NESC/other standardsGuiding the project plan for transmission line routing, including:Assessing whether to rebuild existing lines or acquire additional right of way based on area congestion and local political/permitting considerationsDetermining necessary structure designs based on defined constraintsIdentifying routing options in congested areas to enhance design/reliability and reduce crossings

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