PRINCIPAL COMPUTATIONAL BIOLOGIST

San Francisco, California
US$150000 - US$175000 per annum + BENEFITS

PRINCIPAL COMPUTATIONAL BIOLOGIST

SAN FRANCISCO BAY AREA

$150,000-$175,000 + BENEFITS

THE COMPANY

This food startup is looking for a principal computational biologist to join their data team. This company is developing an innovative technique in food sustainability. Using your demonstrated experience in Python, R, and Bash, you would be driving scientific discussion and discovery and leading projects to change the way the world approaches food.

THE ROLE

Responsibilities will include:

  • Interfacing cross functionally with wet lab scientists, data engineers, and software engineers
  • Executing scientific projects in RNA seq, CRISPR and metabolomics
  • Driving computational biology innovation using demonstrated core techniques

YOUR SKILLS AND EXPERIENCE

Your skills include:

  • A PhD in bioinformatics, computational biology, biology, genomics, or related fields
  • Industry experience in Python, R and Bash
  • Demonstrated expertise in NGS, RNA seq, CRISPR, Cas9 or metabolomics
  • Experience using AWS
  • Algorithm development experience

THE BENEFITS

  • A salary range of $150,000- $175,000
  • Comprehensive medical, dental, and vision coverage
  • Subscription to - apps, personal development coaching, and more!

HOW TO APPLY

Please register your interest by sending your CV to Alyssa Liew via the Apply link on this page.

Send similar jobs by email
Al/45985
San Francisco, California
US$150000 - US$175000 per annum + BENEFITS
  1. Permanent
  2. Bioinformatics

Similar Jobs

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Weekly News Digest: 15th - 19th Feb 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.  KDnuggets: 10 resources for data science self-study If you are interested in getting into data science, there are two basic pathways that you can opt for. There’s the traditional college degree route or the self-study option, the latter of which is growing in popularity among aspiring data scientists. This informative article from KDnuggets provides some insightful tips for data science self-study, grouped into three main categories: Resources for building fundamental knowledge; resources for data science practice; and resources for networking and continuous studies. Resources for building fundamental knowledge:Massive Open Online Courses (MOOCs)Learning from a TextbookYouTubeKhan AcademyResources for Data Science practice:KaggleInternshipsResources for networking and continuous studies:MediumLinkedInKDnuggetsGitHub Find out more here. Analytics India Magazine: How machine learning streamlines risk management Abhaya K Srivastava, SVP at Northern Trust Corporation, recently spoke at the Machine Learning Developers Summit 2021. Srivastava delved into how different sectors including financial, healthcare and retail are making use of emerging technologies like AI and Machine Learning. One of the main takeaways from the speaker session was discussions around how Machine Learning can support how organisations streamline their Risk Management. Srivastava stated, “It is essential for us to establish the rigorous governance processes and policies that can quickly identify when the model begins to fail.” He continued, “The terms of AI are not new, but businesses and organisations have started using these technologies in a different way. We have noticed the influence of machine learning in business applications, ML is playing an important role in Risk Management and there has been a constant focus on how risks are being detected, reported, managed.” There are a range of different machine learning techniques that can be applied to support risk management. It is the role of organisations, and their partners to discover how these processes can be applied. Read more on this here. Information Week: 3 Ways to Empower Female Software Engineers on Your Team We think this is a great article from Information Week that acknowledges the importance of establishing greater diversity and inclusion within software engineering, in particular to empower women in the industry. The article focuses on three areas: Create an inclusive team:Building an inclusive team is a strategic process and should include making sure everyone has a voice and that the workplace is a safe place to take risks.Provide a support system:Support establishes trust and shows a commitment to the well-being of your people. When leaders support their employees, it can significantly affect job satisfaction and performance.Enable women to inspire othersThe first thing to do is make sure the women in your organisation have a seat at the table; they should have a say in the decision-making process. Even if you have a good understanding of these, it’s important to keep educating yourself and the wider team in order to implements processes and strategies that make for a truly inclusive team. Read more on this here.  TechRepublic: 8 must-read leadership books recommended by tech titans and innovators Are you looking for your next read to help you elevate your visibility and skill as a leader in the tech industry? Look no further, as TechRepublic have put together a list of leadership books recommended by notable leaders from within the industry. Here are a few: The Ride of a Lifetime (Robert Iger) - Recommended by Bill GatesDrop the Ball (Tiffany Dufu) - Recommended by Sheryl SandbergMindset (Dr Carol S. Dweck) - Recommended by Satya NadellsTrailblazer (Marc Benioff) - Recommended by Susan Wojcicki It’s valuable to have insight from leaders that are already leading the way for tech innovation in their field, inspiring and supporting future leaders to achieve great things too. Click here to read the full list of recommended leadership books from Bill Gates, Satya Nadella, Sheryl Sandberg, Tim Cook, and other notable industry leaders. We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

Weekly News Digest: 8th - 12th Feb 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of data and analytics.  The FinTech Times: Google Cloud Partners with Twitter to Improve Data Insights and Analytics At the end of this week, we learned that Google Cloud has announced a new partnership with Twitter. From now on, Twitter plans to move its offline analytics, data processing and machine learning workloads onto Google’s Data Cloud.  For Twitter to be able to process and create correct algorithms based on users’ likes, retweets and comments, a huge amount of data needs to be stored; we’re talking hundreds of petabytes of data and trillions of events.  By partnering with Google, Twitter’s machine learning processes and data-informed decisions will not only be much faster and more efficient, it will also allow the company to create much deeper machine learning innovation. Read the full article here.  Think with Google: Top five Lunar New Year observations from the past five years As we geared up for this year’s Lunar New Year, Think with Google used Google Trends Data to explore what piqued our interest before the big celebration last year. The top five findings were: Singaporeans love Lunar New Year – Singapore’s searches around the Lunar New Year are the highest in the world!Promotions, not sales, please – In Singapore, interest in Chinese New Year retail promotions isn’t just restricted to the festive period — it happens all year long.Tasty trends – Yusheng is the top food of choice at the time of the Lunar New Year in Singapore. Feng Shui is important in Vietnam at this time, they’re more likely to be banking on higher powers for the Lunar New Year. It starts a lot earlier than we might think – searches of Lunar New Year begin at least 8-10 weeks before the big event! Read the full article here.  Analytics Insight: Artificial intelligence redefining and innovating the textile industry  AI is becoming a key part of most industries, and the textiles sector is no different. Automation and AI is being used not only for product creation and transformation, but across manufacturing processes and customer service, too.  Statista has reported that the textiles industry is set to grow from a value of $1.5 trillion currently to $2.25 trillion in 2025. This rapid increase in demand for textiles will undoubtedly mean the need for increased labour within the industry but, to ensure companies remain profitable, automation and robotics are most likely going to be put in place to reduce workforce costs.  In this insightful article from Analytics Insight, we learn exactly how the adoption of AI in the industry is helping strengthen and innovate service offerings. From pattern inspection to pattern making, merchandising and smart apparel, this technology is redefining the industry for good.  Read the full article here. Techiexpert: Software engineering trends to look for in 2021 As the capabilities of technology reach further than ever before and businesses invest heavily in software engineering to rapidly accelerate productivity, there’s no doubt that the sector has a lot to look forward to this year. Techiexpert explores eight key trends we should expect to see from software engineering in 2021.  From more businesses embracing the abilities of cloud computing to the domination of Python, the full throttle of the Internet of Things and the further growth of blockchain, the landscape is set to continue evolving and continue adding huge value to all businesses.  Read the full list of trends for the industry here.  We've loved seeing all the news from Data and Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

Recently Viewed jobs