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Sr. Scientist/Scientist – In Vitro Pharmacology

Position Description

We are seeking a talented Scientist/Senior Scientist* to be an integral part of our drug discovery platform expansion to include disease model systems for emerging projects. We are searching for an individual who is excited to develop in vitro disease model systems in an intimate and small team focused on the discovery, preclinical validation, and clinical translation of novel biologics for chronic and rare degenerative diseases. Reporting to the Head of Discovery, the individual will be an integral member of the expanding discovery team to increase our pipeline of state-of-the-art biologics. The ideal candidate will have industry experience in a drug discovery and early development setting and have been involved in high throughput screening, lead candidate selection, and IND-enabling studies for biologics.

*Title commensurate with experience

Major Responsibilities

• Build our expertise in human disease models to expand Juvena’s platform screening capabilities across multiple organ model systems
• Integrate the latest in cell culture techniques and analytical methods to increase throughput and information content in our in vitro pharmacology
• Oversee and perform experiments in disease model systems as well as support our projects with cell-based and biochemical assays
• Work closely with our data science, pharmacology and protein engineering teams to further refine our drug discovery workflows              
• Communicate scientific data internally and externally, authoring/reviewing study reports and regulatory documentation, contributing to high impact scientific manuscripts, identifying & managing external research collaborations                      
• Guide and mentor the in vitro disease modeling team
• Contribute to a dynamic and exciting culture that embraces teamwork and innovation
• Keep current with clinical and scientific advances in the company’s therapeutic interest areas
• Maintain flexibility in supporting multiple discovery and preclinical projects as the company grows

Position Requirements and Experience

• PhD in biochemistry, pharmacology or a related field with 2-5 years of industry experience in a drug discovery environment
• Demonstrated ability to support biologic-based projects from lead generation to optimization, candidate selection, and IND
• Documented experience with assay development and troubleshooting

Preferred Qualifications

• Experience with 3D cultures and organoids
• Familiarity with biologics such as proteins, fusion proteins, peptides, antibodies, and/or antibody drug conjugates
• Knowledge of regenerative medicine, inflammation, and cardiometabolic disease areas 
• Understanding of how disease model data fits into bioinformatics and machine learning applications

Apply Now

To apply for this position please complete the form below. Once the form is complete, email your CV and Cover Letter to apply@juvenatherapeutics.com with the title of the position as the subject line.  

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Sr. Scientist/Scientist – In Vivo Pharmacology

Position Description

Juvena Therapeutics is seeking a talented pharmacologist who is excited to work as a scientist in an intimate and small team focused on the discovery, preclinical validation, and clinical translation of novel biologics for chronic and rare degenerative diseases across multiple therapeutic areas such as neuromuscular, inflammatory, hepatic, and metabolic-related diseases. This position would oversee the in vivo pharmacology efforts at Juvena with a particular focus on preclinical disease model studies. The ideal candidate will work closely with colleagues across data science, discovery, and clinical teams to expand Juvena’s platform for unraveling secretome biology to develop novel disease-modifying biologics. The ideal person will work collaboratively to establish robust disease model systems to support ongoing projects and validation of protein pharmaceutical drug candidates. Reporting to the Head of Discovery, the Senior Scientist in pharmacology will be involved in all of Juvena’s programs as well as overseeing external R&D partnerships with academic institutions and technology providers.

Major Responsibilities

• Lead efforts to expand Juvena’s in vivo pharmacology capabilities across multiple organ model systems to support growth of our biologics platform
• Work closely with the preclinical team members to design and execute in vivo experiments to support research and development of Juvena’s drug candidates for treatment of various rare and chronic degenerative diseases
• Manage lab associates/scientists to deliver high-quality results in a fast-paced setting
• Design and execute experiments following appropriate laboratory procedures and guidelines
• Must be proficient in murine handling, dosing (PO, IV, IP, SC), survival and terminal blood collection (SM, tail nick, cardiac puncture), and tissue harvesting at necropsy including fixation, freezing and tissue disaggregation to support ex vivo analyses       
• Support IND-enabling studies for biologics, internally and externally via CRO project management across all phases of Juvena’s discovery and development
• Carry out high throughput staining and image analysis
• Prepare presentations, technical reports, summaries, protocols
• Keep current with advances in the company’s area of research interest and lead journal club discussions of latest literature and research discoveries                   
• Contribute to a dynamic and exciting culture that embraces teamwork and innovation

Position Requirements and Experience

• PhD with 2+ years of industry experience (or equivalent) in a drug discovery and early development setting
• Demonstrated ability to advance programs from discovery through lead identification and IND with biologics such as fusion proteins, bispecifics, antibody or antibody drug conjugates, preferably in the regenerative medicine space and/or inflammatory, cardiovascular, metabolic disease areas 
• Experience interfacing with multiple key stakeholders in a dynamic environment to enable real-time prioritization
• Strong communication skills
• Prior success with research in a hands-on, highly collaborative growth environment

Preferred Qualifications

• Documented experience in regenerative medicine
• Successful track record of indication selection and prioritization analyses
• Understanding of how in vivo pharmacology data fits into bioinformatics and machine learning applications for drug discovery, target identification and validation
• Direct experience in managing IND-enabling studies with significant contribution to FDA-approved INDs
• Familiarity with pre-commercial process

Apply Now

To apply for this position please complete the form below. Once the form is complete, email your CV and Cover Letter to apply@juvenatherapeutics.com with the title of the position as the subject line.  

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Senior Research Associate – In Vitro Pharmacology

Position Description

We are seeking a talented Senior Research Associate to be an integral part of our drug discovery platform expansion to include disease model systems for emerging projects. We are searching for an individual who is excited to develop in vitro disease model systems in an intimate and small team focused on the discovery, preclinical validation, and clinical translation of novel biologics for chronic and rare degenerative diseases. The individual will be an integral member of the expanding discovery team to increase our pipeline of state-of-the-art biologics. The ideal candidate will have industry experience in a drug discovery and early development setting and have been involved in high throughput screening, lead candidate selection, and IND-enabling studies for biologics.

Major Responsibilities

• Build our expertise in human disease models to expand Juvena’s platform screening capabilities across multiple organ model systems
• Integrate the latest in cell culture techniques and analytical methods to increase throughput and information content in our in vitro pharmacology
• Oversee and perform experiments in disease model systems as well as support our projects with cell-based and biochemical assays       
• Communicate scientific data internally and externally
• Contribute to a dynamic and exciting culture that embraces teamwork and innovation
• Maintain flexibility in supporting multiple discovery and preclinical projects as the company grows

Position Requirements and Experience

• A relevant degree in biochemistry, pharmacology or a related field with 2-5 years of industry experience in a drug discovery environment
• Demonstrated ability to support biologic-based projects from lead generation to optimization, candidate selection, and IND
• Documented experience with assay development and troubleshooting

Preferred Qualifications

• Experience with 3D cultures and organoids
• Knowledge of regenerative medicine, inflammation, and cardiometabolic disease areas 
• Understanding of how disease model data fits into bioinformatics and machine learning applications

Apply Now

To apply for this position please complete the form below. Once the form is complete, email your CV and Cover Letter to apply@juvenatherapeutics.com with the title of the position as the subject line.  

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Scientist – Protein Science

Position Description

Juvena Therapeutics is seeking a highly motivated protein scientist to join us as our new Scientist of Protein Science, who will be an integral part of our drug discovery platform expansion to include new molecular scaffolds such as antibodies and other biologics. We are searching for an individual who is excited to work as a leader in an intimate and small team focused on the discovery, preclinical validation, and clinical translation of novel protein therapeutics for chronic and rare degenerative diseases. The Protein Science team is responsible for the selection, design, and optimization of therapeutic drug candidates with immense impact on cell and tissue regeneration. The ideal candidate will have expertise in classical screening methodologies as well as computational protein design to increase our hit rates. Reporting to the Director of Protein Science, the Scientist will be a key part in growing our competencies and throughput in this team.

Key Responsibilities

• Perform key steps in lead optimization process of promising hits from Juvena’s proprietary stem cell-derived protein library to identify candidates with great potential for drug development in various therapeutic areas
• Optimize the activity, stability, and pharmacokinetics of identified protein candidates by amino acid and post-translational modification to reach a desired target product profile
• Develop and optimize upstream and downstream methods, including protein expression, purification, and biophysical characterization
• Support early discovery and preclinical development by providing protein and analytical expertise to advance pipeline projects
• Present at group, company, and external meetings/conferences
• Contribute to a dynamic and exciting culture that embraces teamwork and innovation
• Maintain flexibility in supporting multiple discovery and preclinical projects as the company grows

Job requirements

• PhD in biochemistry or another relevant field with 0-5 years of experience (or equivalent experience in industry) with a preference for candidates that have previously worked with biologics drug discovery
• Demonstrated ability to design, express and purify proteins in a high throughput manner in mammalian cell systems
• Strong desire and initiative to understand the underlying technology and help propose new ideas and techniques to discover next-generation of protein-based therapeutics with unique functionalities
• A strong track record of research accomplishments in protein design and protein engineering
• Excellent communication and technical writing skills
• Ability to work effectively with others in a dynamic environment

Preferred Qualifications

• Previous experience with optimizing mammalian expression systems
• Experience with protein variant structure-activity relationships
• Familiar with one or more structural modeling programs such as Rosetta, MOE, Schrodinger, etc

Apply Now

To apply for this position please complete the form below. Once the form is complete, email your CV and Cover Letter to apply@juvenatherapeutics.com with the title of the position as the subject line.  

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Senior Computational Biologist – Multiomics

Position Description

Juvena Therapeutics, Inc. is a regenerative medicine biotech startup inviting applicants for Computational Biologist – Multiomics who are excited to work as a core member of a team focused on the discovery and validation of novel candidate biologics for tissue regeneration and increased stem cell activity.

The computational biologist will be responsible for driving project-specific lead discovery and prioritization by extracting meaningful biological insights from large, complex omics datasets and integrating the results into Juvena Therapeutics’ growing in-house knowledge ecosystem.

They will develop and apply creative, leading-edge approaches in bioinformatics, biostatistics, and machine-learning to integrate proprietary high throughput in vitro screening and in vivo verification assays, protein/gene annotation and pathway databases, ontologies, and publicly available omics datasets. Predictive modeling will be applied to enhance the efficiency of lead therapeutic drug screening and design.

The position is full-time starting as early as possible. This is the perfect opportunity for someone interested in the exciting and fast-paced environment of a startup company looking to make a difference in human health and healthspan.

Position Requirements

• Bring to the Discovery team your expertise in a) identification, curation, integration, and analysis of multiomics data, b) statistical analysis and visualization of complex data relationships driving lead discovery and validation, and c) statistical and machine-learning based predictive modeling to make strategy recommendations.
• Develop and apply computational models to enhance the efficiency of candidate biologics screening for increased stem cell activity from prototype to scale deployment.
• Work cross-functionally to create the best possible pipeline of candidate therapeutics and the tools to scale out efficiently across multiple indications.
• Improve efficiency by automating data extractions, analyses, and reporting;
• Manage Google Cloud and AWS resources connected to relevant projects;
• Other scientific tasks as required.
• Actively survey the forefront of published methods and resources for your field and internalize key aspects to the company

Qualifications

This position is a great fit if you have/are:

• M.S./PhD in Biostatistics, Bioinformatics, Computer Science + Biological research, or other related disciplines involving both biology and computational data analysis, with 1-4 years of post-graduate experience
• Demonstrated mastery of both computational analysis and biology with publications, co-inventorships, or other impressive achievements
• Highly communicative. Effective communicator verbally, in writing, and in presentations to both expert and novice audiences
• Self-Starter – Can work independently and/or collaboratively with scientists to make appropriate and timely decisions to meet deadlines on experiments and projects
• Strong foundational knowledge and experience with biological data, particularly with methods generating large scale  omics data sets (e.g. epigenomics, genomics, transcriptomics, proteomics)
• Expertise in computational multi-omics analysis integrating multiple data types including large omics datasets such as single-cell RNAseq studies, ontologies, and pathways/networks.
• Experience in statistics and predictive modeling such as Bayesian statistics, linear and non-linear modeling, multivariate analysis, network analysis, machine learning, etc.
• Demonstrated expertise in a scripting language (e.g. Python)
• Demonstrated expertise in statistical computing language (e.g. R or Python)
• Demonstrated expertise in cloud computing systems – experience with Google Cloud and AWS resources is a plus
• Familiarity with pharmaceutical R&D is a plus.
• Industry or startup R&D experience is a plus.

Apply Now

To apply for this position please complete the form below. Once the form is complete, email your CV and Cover Letter to apply@juvenatherapeutics.com with the title of the position as the subject line.  

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Machine Learning Engineer – Drug Discovery

Position Description

Juvena Therapeutics, Inc. is a regenerative medicine biotech startup inviting applicants for a Machine Learning Engineer position who are excited to work as a core member of a team focused on the discovery and validation of novel candidate biologics for tissue regeneration and increased stem cell activity. They will design and implement new machine learning algorithms and collaborate with some of the top scientists in the field to reach new insights.

We integrate ML techniques into each stage of therapeutic discovery and development from lead and target identification through HTS to preclinical validation. Our technical innovations integrate and expand the latest approaches in proteomics, transcriptomics, computer vision, Natural Language Processing (NLP), Quantitative Structure Activity Relationship (QSAR) modeling, and neural networks to build an ML-enhanced drug discovery platform. With Deep Learning and other predictive modeling methods, we can identify and rank lead therapeutic candidates more cost-effectively and much faster than traditional methods. Applications include predicting phenotype and disease association from sequence-based and structure-based protein features, automated analysis of high-throughput screening microscopy images of primary human stem cells treated with candidate biologics, and quantitative analysis of tissue histology effects in preclinical models.

We are looking for an experienced Machine Learning Engineer to lead the development, validation, and interpretation of machine learning models with drug-development applications, engineer and integrate features from external and internal data sources, and to establish best-practice standards, processes, and tools supporting the data-science solution implementation lifecycle.

The position is full-time starting as early as possible. This is the perfect opportunity for someone interested in the exciting and fast-paced environment of a startup company to make a difference in human healthspan and develop cures for degenerative diseases.

Position Requirements

• Lead the invention, evaluation, and implementation of machine learning technologies to discover novel protein-based therapeutics across a range of diseases and tissues
• Lead data engineering to identify, extract, and create data features from large data sets for input into models. Data sources can include OMICS data sets such as single-cell transcriptomics, proteomics, microscopy images, protein feature databases, text-based literature, ontologies, etc.
• Collaborate with scientists to analyze and select data modeling approaches, define model validation strategies, train and tune models, and analyze and resolve errors
• Analyze and extract insights from modeling results; communicate them to the team and integrate them into the Juvena knowledge base
• Establish best-practice standards, processes, and tools to drive a rapid data-science solution implementation lifecycle and track/manage data provenance and results reproducibility (e.g. ML and DE frameworks, git workflows, data management strategies)
• Work cross-functionally to create the best possible pipeline of candidate therapeutics and the tools to scale out efficiently across multiple indications
• Improve efficiency by automating data extractions, analyses, and reporting
• Manage Google Cloud and AWS resources connected to relevant projects
• Other engineering tasks as required.
• Actively survey the forefront of published methods and resources for your field and internalize key aspects to the company

Qualifications

This position is a great fit if you possess:

• MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, or a related technical field.
• 3+ years of machine learning or artificial intelligence development experience with demonstrated work products relevant to drug discovery (e.g. protein function prediction, phenotype prediction from molecular and other data)
• Foundational knowledge of biology and experience with biological data
• Familiarity with machine learning model development lifecycle, including study design, data collection and annotation, model development, model validation, benchmarking against competition, and rigorous statistical analysis
• Proficiency in Python
• Proficient in deep learning frameworks such as Tensorflow or PyTorch and analysis packages such as scikit-learn, scikit-image, OpenCV, and statistical analysis packages.
• Proficiency in implementing workflows on cloud computing platforms
• Industry or startup R&D experience

Apply Now

To apply for this position please complete the form below. Once the form is complete, email your CV and Cover Letter to apply@juvenatherapeutics.com with the title of the position as the subject line.