Data Scientist - BioTech

Los Angeles Metro Area, California
US$150000 - US$200000 per year + Competitive Benefits

Data Scientist - BioTech
Greater Los Angeles
$150,000 - $200,000 + Competitive Benefits

The Company

Harnham is working with a fast-paced, biotech company that encourages a start-up culture, with the benefits and stability of a well-established name in the industry. This company highly values data-driven solutions and is, in fact, one of the first of its kind to build out their Data Science team.

The team has grown exponentially over the past couple years and expect their team to grow into leadership roles as soon as possible! You will have direct impact within the team and organization, working closely with the executive team to reach business and product development goals. Additionally, you will work on expanding the team, supporting the hiring process and professional development of new talent.

If you're looking to work with people that care about what you say and believe in your potential - this is the place to be! This organization is transforming the biotech industry at a global scale - and this is your chance to join a team that will support your motivation to excel and work with tons of data!

The Role

You will:

  • Develop and optimize the Data Science infrastructure to be scalable and insightful, both internally and a production level
  • Demonstrate strong management and problem-solving skills - you will be taking initiative on important R&D to improve operation and products!
  • Communicate with organizational leaders across different verticals to deliver on data-driven goals, whether its your manager, engineers, marketing, or upper-echelon management!
  • Play a critical role in structuring the team's direction and scalability, from the challenges you will work on to the hiring process of future colleagues

Skills and Expertise

You have:

  • Dedicated knowledge in machine learning and the ability to produce object-oriented solutions (using C++ or Java) for logistical business strategy and product development
  • Expertise in R and/or Python, implementing machine learning techniques using python libraries, like TensorFlow, Scikit-learn, Pandas, and Keras
  • Exceptional communication skills - you can effortlessly relate insight to a team of engineers, business operations personnel, and an overseas data lake team!
  • Must have at least a Master's degree with 4 years of industry experience or a PhD with 2 years of experience, with a focus on Data Science or Machine Learning

Benefits

$150,000 - $200,000 base pay

  • Competitive annual stock, 401K, and bonus opportunities
  • Relocation assistance
  • Phenomenal healthcare benefits

How to Apply

Please register your interest by sending your CV to Karla Guerra at Harnham via the Apply link on this page.

For more information this role or other Data Science opportunities, please contact Karla Guerra at Harnham.

KEYWORDS
Python, R, Machine Learning, Deep Learning, Big Data, AI, Artificial Intelligence, Java, C++, Spark, AWS, SQL, Modelling, Algorithm, BioTech, Content Analysis, Sentiment Analysis, Data Scientist, Data Science, Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, Classification, Clustering, Extraction

Send similar jobs by email
52452
Los Angeles Metro Area, California
US$150000 - US$200000 per year + Competitive Benefits
  1. Permanent
  2. Data science

Similar Jobs

Salary

US$240000 - US$260000 per year + Bonus + Benefits

Location

New York

Description

Are you looking to work with cutting-edge technologies in natural language to disrupt the financial space? One of the leaders in finance is doing just that!

Salary

US$160000 - US$180000 per year + Bonus + Equity

Location

New York

Description

Harnham are partnered exclusively with one of the fastest growing fintech businesses looking for a commercially experienced Data Scientist for their NLP team.

Salary

US$165000 - US$185000 per year + Competitive Benefits

Location

San Francisco, California

Description

We are working with a revolutionary media streaming platform that streams content from hundreds of partners, making movie and TV titles accessible to everyone.

Salary

US$140000 - US$160000 per year + additional benefits

Location

San Diego, California

Description

This research tech startup is looking for a senior data scientist to join their mission to solve problems in the healthcare space!

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.

How Sports Brands Hit A Home Run With Data Science

Who’s your favorite team? It’s a question you’re likely to have heard greet you at an event, sports bar, or in general conversation at least once. But what is it the person really wants to know? They want to know who you are, understand where you’re coming from, and ultimately, if you will get along. When it comes to sports, though, these questions often go unasked because we’re drenched in head-to-toe gear such as hats, caps, bands, stickers, flags, cups, and other external signfiers of instant community. But what happens when Data Science and Machine Learning enter the mix? Why, you up your game of course. Die hard fans know their stats and make it a part of conversation to discuss what they would do with a player in regard to their plays, drafts, and even endorsements. Knowing stats is a competition in and of itself. Throw in the billion viewers tuned in to watch the Summer Olympics, the Super Bowl, Wimbledon, and the World Cup, and the captive audience for endorsements and advertising is out of this world. How Data Science and Machine Learning Enhance Fan Engagement Bonding with one another over stats and with advances in Big Data technology, fans and advertisers alike can create epic, interactive experiences. From Data tracking of angles to perfect the game, to knowing the best-selling food in the stands, everything is tracked and optimized for the euphoric experiences we recount into old age.  Add in the cutting-edge technologies of Artificial Intelligence, Virtual Reality, and Predictive Analytics, and the Data gleaned becomes invaluable to strategists, sponsors, and fans. These analytics can help to leverage and deepen the experience while sharing insights on possible improvements. Both of these technological advances are set to change the viewers experience. Check out this article for a deeper dive as coaches explain the importance of analyzing Data. Stats and Data have been part of the sports experience since Billy Beane brought economics to baseball, but what does that have to do with sports marketing and branding? Borrowing Ideas from the Pros… of Branding and Marketing There’s no reason to reinvent the wheel. Use what the pros know to grow and scale your sports advertising. Get Local, and Get People Talking & Acting. Promote your brand locally around both national AND local events. Use the opportunity to get people talking. What do people want? What makes ‘em tick? What makes ‘em sick? What do they love about your brand and why would they tell their friends? You get the idea. Perfect for every endeavor from grass roots on up.Cross Channels. Get social. Invest in YouTube, Facebook, Instagram, Twitter, and so on. Use sweepstakes and giveaways, contests and surveys, to get people talking about you. Drive people to your site via an app or campaign which you know resonates with your die-hard fans. Use streaming, live, and exclusivity to ratchet interest.Think Long-Term. To truly see your numbers and know if what you’re doing is working takes time. This is a long game to master as you build awareness, set your objectives, and determine what parameters to set to realize success.  These are just a few brand marketing ideas to scale from sports advertising. Now, it’s time to get creative. Use your giveaways as an opportunity to interact with fans and find out what they want. Well, other than their favorite team to win, of course. You Can Only Get Out What You Put In  The value of Data & Analytics in modern sports is more than stats. Data Science and Machine Learning allow fans to forge deeper and more meaningful relationships with their favorite sports teams. These insights lead toward a stronger appreciation of what’s happening in the industry and with their fan favorites.  Want to get in on the game? Degrees abound in the realm of sports analytics from Syracuse to Oregon University and nearly every state in between. Check this out to see where this industry can take you. For those in the Northwest, Oregon has become almost another Silicon Valley. But don’t let its rural areas fool you. They’ve got an ace in the hole from the East and is already under the moniker Oregon rural tech hub. Check out our current vacancies for additional opportunities. Contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Death of the DMP, Rise of the CDP

The days of generically using Data in Marketing are on the decline as information gathering becomes more laser focused. Once the domain of third-party sites looking to build partnerships and boost campaign efforts, Data Management Platforms (DMPs) are making way for Customer Data Platforms (CDPs). Under the weight of data breaches, GDPR, and other security issues, technologies that center around consent are helping build consumers into campaign strategies. This is a reversal from older strategies to build data from historic data profiles at channel level.  Data is Data, So What’s the Difference? In a nutshell, DMPs act as “equalizers” – all companies have access to predefined parameters of data. CDPs are “differentiators” – each customer is unique with information driven from first-party historical and contextual data, determined along the customer’s purchase journey. Tailored customer data has now gone beyond the scope of Data Management Platforms and offers marketing insights nearly unheard of just a few years ago. Now, we can understand our customers not only from their historical, factual, and contextual data within parameters we’ve created, but we can gain an outside perspective as well.  Five Reasons CDPs are on the Rise Single, Unified StorageThey store ALL data (1st, 2nd, and 3rd) such as names, addresses, emails, etc. as well as cookie IDs and tags. This storage capacity makes it easy to aggregate everything into one place and integrate with advertising systems.They capture data at a granular level. This includes considering long-term storage and multiple storage formats without predefined parameters focused only on advertising – what we want to sell you, not what do you want to buy?They aren’t restricted to stages of the customer journey, but can pick up data anywhere along the customer lifecycle. This information can be used for look-alike modeling or can be retargeted for more effective advertising and marketing efforts.They create a holistic overview of customer behaviors opening up new opportunities for personalization. Customer First Brand Targeting Today’s advertising and marketing strategies are being re-evaluated to prioritize the customer experience. Once customer data had to fit into predefined boxes of information, now our data collection efforts are as unique as every person who visits your website, clicks a call-to-action, or visits a brick-and-mortar store. In a Nutshell… This is a crucial time in the industry and any door which will help us resolve issues and keep the customer front and center will strengthen our efforts. However, as we go deeper into what the customer likes and why we must keep our customer’s privacy safe whilst retaining an advantage over our competitors.  DMPs, once the singular domain of marketers, was used to package and repackage data to better understand customers and improve ad targeting. CDPs, on the other hand, focus on every aspect, every angle of marketing to make advertising more customer-centric and laser-focused. Ultimately, as CDPs are all inclusive, they have absorbed Data Management Platforms into their systems, helping move the industry another step forward. If you’re interested in Data & Analytics, consumer behavior, and are actively seeking an opportunity to dig in your heels and get set up for a strong career path, we may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Recently Viewed jobs