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IDEAYA Biosciences (NASDAQ: IDYA) is a public, clinical-stage synthetic lethality-focused precision medicine oncology company committed to the discovery and development of targeted therapeutics for patient populations selected using DNA sequencing and other molecular diagnostics. Our approach integrates extensive capabilities in identifying and validating translational biomarkers with small molecule drug discovery to select patient populations most likely to benefit from the therapies we are developing. We are applying these capabilities across multiple classes of precision medicine, including direct targeting of oncogenic pathways and synthetic lethality – which represents an emerging class of precision medicine targets. We believe this diversified approach will enable us to deliver the right medicine to the right patient to drive a more robust clinical response.

IDEAYA has an industry leading platform and pipeline in Synthetic Lethality. IDEAYA has established strategic collaborations with Amgen and Pfizer supporting its pipeline programs, and also has wholly-owned or controlled clinical and preclinical programs.

When you're at IDEAYA, you will be in the midst of brilliant minds working on precision medicine therapies to help cancer patients. We are passionate and committed about being on the forefront of oncology medicine, which means we all have a high internal drive that is at the very core of every person at IDEAYA. We are inquisitive, ask deep questions, and are data-driven innovators who like to collaborate and use team work to move science forward. For more information, please see www.ideayabio.com.

Position Summary:

IDEAYA Biosciences is seeking a Senior or a Principal Computational scientist to join our Computational Biology team. This individual will work on a range of early-stage programs including new target ID efforts.  The role will have a heavy focus on computational analysis of internal and public external multi-omics and CRISPR screening datasets to test and help derive novel hypotheses.  The ideal candidate will be comfortable working with a range of omics datatypes generated from in vitro and in vivo model systems. The ideal candidate will enjoy working collaboratively in a fast-paced environment on a range of challenging and exciting scientific problems. This is a unique opportunity to gain broad computational experience throughout the early stages of drug development and work on cutting edge functional genomic and single cell datasets.

What you'll do:

• Aid in and lead analyses for drug target identification via development of machine learning models to integrate diverse data sources that guide interpretation and decision making
• Carry out standard and complex differential analyses of omics data amongst a wide array of in vitro, and in vivo samples
• Work closely with scientists throughout the organization to accelerate and enable testing of hypotheses through computational analyses
• Clearly communicate and present results to project teams and the larger organization
• Develop working knowledge of cancer biology underpinning IDEAYA projects to facilitate communication and more rapid analyses 

• PhD in Computational Biology, Bioinformatics, Genomics, or associated field preferred with 3-6 years’ industry experience
• Strong working knowledge of linear modeling, regression techniques, and associated statistical tests
• Working knowledge of dimensionality reduction and feature engineering techniques
• Experience with cancer biology and cancer genomics analysis
• Experience with RNAseq and or multi-omic differential analysis
• Experience with human NGS datasets and UNIX based bioinformatic tools
• Strong familiarity with standard bioinformatic data resources such as Ensembl, NCBI, uniprot, pfam, etc
• Proficient in Python/R data processing and usage of bioinformatic packages
• Proficient in visualization and presentation of complex data
• Proficient with usage of cluster and cloud computing such as AWS
• Familiarity with version control and software engineering best practices
• Problem solver and self-starter who is passionate about their own career growth and development
• Team player who is comfortable playing supporting or leading roles when necessary
• Clear communicator who can work closely with biological scientists

• Experience with scRNAseq and spatial transcriptomics
• Experience with functional genomics datasets (e.g. CRISPR screening)
• Experience with clinical and translational bioinformatics
• Experience with Oncology and functional genomics data resources such as TCGA and DepMap
• Experience building and validating machine learning based models with multi-omics data sources
• Experience with non-linear modeling and optimization techniques
• Experience with Bayesian methods and causal network modeling
• Experience developing interactive UIs with python/R and or Javascript

The Company complies with all laws respecting equal employment opportunity and does not discriminate against applicants with regard to any protected characteristic as defined by federal, state, and local law. This position requires you to work onsite at the Company’s facilities, with partial work-from-home flexibility,  and the Company requires that all employees working in its facilities be fully vaccinated (except as required by applicable law). Therefore, this position requires you to be fully vaccinated from COVID-19, subject to reasonable accommodations for medical or religious reasons, and/or as otherwise required by applicable law. The Company considers you fully vaccinated once 14 days have passed since you received either the second dose in a two-dose COVID-19 vaccine series or a single-dose COVID-19 vaccine. The vaccine must have been FDA approved, have emergency use authorization from the FDA, or, for persons fully vaccinated outside of the U.S., be listed for emergency use by the World Health Organization.

Benefits

Along with our highly collaborative and inclusive environment, IDEAYA offers a comprehensive and competitive benefits package that includes (but is not limited to) medical/dental/vision coverage (100% company paid for employees and 90% company paid for dependents), retirement benefits, ESPP and wellness programs. All full-time employees will also be eligible for an annual bonus and equity refresh.

IDEAYA is an equal opportunity employer. In accordance with applicable law, IDEAYA does not discriminate in hiring or otherwise in employment based on race, color, religion, sex, national origin, age, marital or veteran status, disability, sexual orientation, or any other legally protected status. EOE/AA/Vets.

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ABOUT BRIGHTSEED

Brightseed is a pioneer in biosciences and artificial intelligence (A.I.) that illuminates nature to restore human health. Brightseed’s proprietary A.I., Forager®, accelerates bioactive discovery, biological validation and ingredient formulation from years to months, rapidly revealing new connections between nature and humanity. Through Forager® and clinical evaluation, Brightseed partners with organizations across the consumer health continuum to offer insight into the world of bioactives and health solutions. Visit www.brightseedbio.com to learn more.

ABOUT BIOACTIVES

Bioactives are small molecule compounds produced by plants, fungi, and microbes that grow in and adapt to environments that present a wide range of challenges to their survival. Bioactives also benefit the health of humans – they are the enlivening caffeine in tea, the powerful antioxidant lycopene in tomatoes or curcumin in turmeric, and they inform active ingredients in medicines like Taxol, aspirin and Metformin, the latter a first-line treatment for Type 2 diabetes derived from the French lilac flower. Science has long known that bioactives are critical to human health, yet the vast majority remain unknown and uncharted – often referred to as the “dark matter” of nutrition. Brightseed’s A.I., Forager®, discovers bioactives in nature and maps them to human health outcomes at a rate and accuracy that was previously impossible.

ABOUT THE ROLE

Brightseed’s Natural Products Chemistry team experimentally validates predictions made by Forager®. We produce complex extracts and fractions from biological sources, then purify and characterize the bioactive compounds responsible for the desired health promoting effects. As we apply our technology to more health areas, there is a need to accelerate the pace of bioactive compound discovery. 

As a Computational Chemistry scientist, you will help to develop computational tools to rapidly annotate active compounds. This will involve combining spectrometric and spectroscopic data to dereplicate known compounds in extract mixtures, as well as characterize novel isolated pure compounds. Your work will support the Natural Products Chemistry team in uncovering new connections between natural compounds and human health. This will help move more bioactives from initial discovery to further downstream product development. In this role, you will work with a multidisciplinary team of natural product chemists, biologists, computational biologists, process engineers, and product development scientists to deliver solutions to unmet industrial needs. 

THE IMPACT YOU WILL MAKE

• Lead design and implementation of computational algorithms to discover natural bioactive molecules
• Develop and validate high-quality computational tools for automated compound annotation 
• Build automated data process, analysis, and visualization tools to speed up natural products chemistry pipeline 
• Join and deliver high-impact  internal and external discovery projects/programs 
• Acquire, analyze, and report High Resolution Mass Spectrometry (LC-MS), UV absorbance and Nuclear Magnetic Resonance (NMR) data 
• Combine wet and dry research with a 20-80 time split between bench experiments and computational developments 

• Ph.D. in Natural product chemistry, computational chemistry, metabolomics or related disciplines
• Preferably 2 years of industrial experience in relevant research areas
• Experienced in  analysis and interpretation of standard spectroscopic and spectrometric data (LC-MS, 1H-NMR) 
• Experienced in using  data processing tools for LC-MS, NMR, and UV Vis 
• Strong expertise in data analysis and visualization
• Hands-on experience in programming languages, preferably R or Python or both
• Hands-on experience using standard analytical instrumentation (e.g. HPLC, LC-MS)
• Experience in small molecule structure elucidation
• Proven track record of scientific excellence 
• Excellent written and verbal communication skills

• The salary range for this position is $136,000 - $155,000. 
• Compensation for this position is commensurate with relevant qualifications and work experience, academic credentials, job related skills, employment location and other factors. 
• More senior candidates are strongly encouraged to apply.

THE BENEFITS YOU'LL ENJOY

As a lab based company, where in person collaboration is key to drive innovation, we encourage all team members to be in our office most days each week. However we appreciate and honor the need and desire for flexibility and have implemented a hybrid working model. We have a fully stocked healthy kitchen, a gym onsite, plenty of free parking, weekly team events and a state-of-the-art lab and office. 

We offer a competitive total rewards package with team-first benefits programs for full-time employees, including medical, dental and vision coverage, unlimited paid time off, life insurance, employee assistance programs, 401(k) plan, a mental health platform, employee discounts, payroll credits for cell phone and commuter costs and a paid parental leave program.

JOIN US, AND BE YOU

We are committed to making transformative discoveries with a team-first mentality. Successful team members are truth-seeking and trusting, with the tenacity required to trail blaze in uncharted territory. We are a collaborative team that actively seeks input and values differing perspectives. And we produce tangible results, holding ourselves accountable in the process. 

We are also committed to cultivating and preserving a culture of connectedness and inclusion. We grow and learn together, respecting professional and personal experiences, areas of expertise, and types of self expression. 

In recruiting for our team, we welcome the unique contributions that each one of us brings in terms of education, opinions, culture, color, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, religion, different abilities, sexual orientation and beliefs.